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M2090-615 exam Dumps Source : IBM business Analytics Performance Management Sales Mastery Test v2

Test Code : M2090-615
Test title : IBM business Analytics Performance Management Sales Mastery Test v2
Vendor title : IBM
: 47 true Questions

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IBM IBM business Analytics Performance

IBM Db2 Analytics Accelerator version 7.1 — efficiency with stronger Flexibility | killexams.com true Questions and Pass4sure dumps

businesses possess a wealth of advantageous facts on their commercial enterprise techniques. Ideally, decisions should still exist derived from this statistics as it’s generated to assist today’s actual-time company needs. Deriving insight from out of date records can cause poverty-stricken first-class decisions and probably hazardous moves. This could enable fraud and cyber criminals to select advantage of that statistics and the systems. It could too outcome in misplaced salary through missed earnings alternatives. in a similar way, the identical could exist referred to of not being capable of anatomize facts quick satisfactory.

IBM Db2 Analytics Accelerator for z/OS (Accelerator) can assist tackle each of those challenges. initially, it allows for queries to exist carried out on current transactional data with limited or no influence to operational device efficiency. Secondly, the Accelerator can drudgery to greatly enrich the efficiency of applicable queries typically establish in analytics purposes.

The Accelerator is designed for high-velocity evaluation of enterprise records. it will probably aid reduce operational can imbue and complexity with the aid of bringing the analytics closer to the information and enabling immediate actual-time analytics on transactional statistics because it’s generated. The Accelerator transforms the IBM Z platform perquisite into a hybrid transaction and analytical processing (HTAP) atmosphere. it could actually carry excessive-speed processing for complex, aid-intensive Db2 queries to steer business-crucial reporting and analytic workloads.

Flexibility and performance with Db2 Analytics Accelerator edition 7.1

The Accelerator has been available for a couple of years and is used through IBM Z valued clientele across many industries to aid accelerate complicated queries on company-critical records, while not having to bolt that records to a discrete platform for analytics. Executing transaction and analytical workloads simultaneously on the identical platform can back reduce latency whereas leveraging the security capabilities of the IBM Z platform. Analytical processing does not degrade transactional workload performance as a result of transactional and analytical queries are each and every processed within divorce compute aid pools.

As depicted in figure #1, the Db2 Analytics Accelerator edition 7.1 gives you two deployment options, both on the IBM built-in Analytics gadget (IAS) and/or without laggard on the IBM Z mainframe.

determine #1: dedicated paraphernalia (Accelerator on IAS) or aboriginal on IBM Z (Accelerator on IBM Z) choosing the right choice

The Db2 Analytics Accelerator for z/OS version 7.1 gives the option to set up the configuration aspect that most closely fits a company’s requirements:

  • Db2 Analytics Accelerator on IAS makes it feasible for corporations to install on the IBM integrated Analytics paraphernalia equipment. This pre-configured offering comprises hardware (compute, storage, and networking) and utility for simple deployment, administration, and exorbitant performance. It additionally offers safety-rich, supple and elastic facts storage that is both simple to install and control.
  • Db2 Analytics Accelerator on IBM Z makes it feasible for corporations to set up directly on the IBM Z mainframe, within a cozy service Container leveraging integrated Facility for Linux (IFL) processors. This allows for deeper integration with the IBM Z infrastructure. This option can too present supple capacity to respond to peak analytic workload necessities while assembly SLAs. It supports a subset of SQL, executable in Db2 for z/OS. Basing the Accelerator on Db2 Warehouse enables accelerated utilize of the supported SQL on account of superior SQL compatibility across the Db2 family.
  • both deployment alternate options are in keeping with IBM’s analytical engine, Db2 Warehouse. This helps guarantee a uniform adventure with one API and database engine. It makes it feasible for groups to invest once in enabling their applications and workloads for the Accelerator after which transition comfortably between deployment options. The IBM Db2 Warehouse gives here advantages:

  • more advantageous SQL compatibility across the total Db2 family of products.
  • Columnar technology providing quicker performance for many analytic queries than outdated models.
  • Containerized strategy can facilitate sooner, easier integration with different technologies and tactics.
  • Deployment on IAS

    IBM Db2 Analytics Accelerator on IAS is a next-era hardware equipment. It gives its add-ons out of the field, including optimized hardware and software. This deployment alternative supplies a balanced, advanced, performance-optimized configuration. The hardware comprises the rack, the actual servers and storage. it's based on IBM vigour hardware and is optimized for expense/performance. The software stack comprises the Linux working device, Docker software, Docker container and infrastructure administration amenities.

    Deployment on IBM Z

    IBM Db2 Analytics Accelerator on IBM Z circumstances may too exist deployed at once via a down load & depart approach. Deploying the Accelerator on IBM Z programs the application stack into an IBM comfy carrier Container (SSC) ratiocinative partition (LPAR). This helps carry a self-managed paraphernalia running in a SSC LPAR that can exist deployed in minutes.

    distinctive cozy service Containers can participate the selfsame IFLs. discrete Accelerators, hence, can participate the identical hardware supplies. This can too exist a superb suggestion for a few construction, and examine/construction situations, which may well exist provisioned and re-provisioned as vital.

    The Accelerator on IBM Z integrates into a company’s IBM Z environment and leverages the widely used LPAR-reminiscence and CPU management approaches. This routine additionally leverages the organization’s personal disk to deliver Accelerator-aspect facts. This alternative is for businesses that are looking to select scholarship of IBM Z amenities for actions such as catastrophe restoration and enables for deeper integration with the IBM Z infrastructure.

    abstract and next Steps

    When true-time insight matters, IBM Z, along with Db2 for z/OS and the Db2 Analytics Accelerator, can back deliver an impressive transaction and analytical ambiance.

    it could actually back corporations select potential of their enterprise facts the plot it originates to drudgery to pressure lofty influence choices whereas minimizing latency, simplifying infrastructure, assisting to in the reduction of the cost of such IT infrastructure and enhancing statistics security. it will possibly assist flip statistics into perception, and perception into occasion to give immediate real-time solutions to some of the most vital questions.

    To study extra about IBM Db2 Analytics Accelerator edition 7.1, click on perquisite here.

    Stephen Astorino,VP of development, Hybrid Cloud, z Analytics and Canada Lab Director IBM Analytics

    observe me: @astorino_steven


    IBM Db2 question Optimization the utilize of AI | killexams.com true Questions and Pass4sure dumps

    In September 2018, IBM introduced a brand unique product, IBM Db2 AI for z/OS. This ersatz intelligence engine monitors facts entry patterns from executing SQL statements, makes utilize of computing device getting to know algorithms to pick out most desirable patterns and passes this guidance to the Db2 question optimizer to exist used by means of subsequent statements.

    computing device discovering on the IBM z Platform

    In might too of 2018, IBM introduced edition 1.2 of its computer discovering for z/OS (MLz) product. this is a hybrid zServer and cloud software suite that ingests efficiency records, analyzes and builds models that symbolize the health popularity of a variety of indications, monitors them over time and gives precise-time scoring capabilities.

    a couple of points of this product providing are geared toward assisting a community of mannequin builders and bosses. as an example:

  • It supports distinctive programming languages similar to Python, Scala and R. This permits records modelers and scientists to Make utilize of a language with which they are established;
  • A graphical person interface known as the visual mannequin Builder courses mannequin builders with out requiring highly-technical programming talents;
  • It includes dissimilar dashboards for monitoring mannequin effects and scoring capabilities, as well as controlling the system configuration.
  • This laptop getting to know suite became in the soar aimed at zServer-based analytics purposes. one of the crucial first evident decisions become zSystem efficiency monitoring and tuning. gadget administration Facility (SMF) statistics which are immediately generated by means of the operating gadget supply the uncooked data for paraphernalia useful resource consumption reminiscent of principal processor utilization, I/O processing, memory paging and so forth. IBM MLz can bring together and shop these statistics over time, and build and educate fashions of paraphernalia behavior, score these behaviors, establish patterns now not simply foreseen through people, boost key performance warning signs (KPIs) after which feed the mannequin outcomes lower back into the paraphernalia to savor an consequence on paraphernalia configuration changes that may enrich efficiency.

    The subsequent step turned into to consequence in constrain this suite to investigate Db2 performance records. One answer, known as the IBM Db2 IT Operational Analytics (Db2 ITOA) solution template, applies the desktop studying technology to Db2 operational records to gain an figuring out of Db2 subsystem fitness. it may well dynamically construct baselines for key performance indicators, supply a dashboard of those KPIs and provides operational team of workers actual-time perception into Db2 operations.

    whereas widespread Db2 subsystem performance is a crucial ingredient in universal software health and performance, IBM estimates that the DBA profit team of workers spends 25% or more of its time, " ... fighting entry course complications which cause efficiency degradation and service affect.". (See Reference 1).

    AI involves Db2

    accept as upright with the plight of concurrent DBAs in a Db2 environment. In modern day IT world they need to steer one or more huge statistics applications, cloud application and database functions, utility setting up and configuration, Db2 subsystem and application performance tuning, database definition and management, catastrophe recovery planning, and more. query tuning has been in being given that the origins of the database, and DBAs are always tasked with this as well.

    The heart of question course analysis in Db2 is the Optimizer. It accepts SQL statements from functions, verifies authority to access the facts, studies the areas of the objects to exist accessed and develops a listing of candidate statistics access paths. These access paths can include indexes, table scans, quite a few table exist a allotment of strategies and others. within the statistics warehouse and gargantuan facts environments there are usually additional decisions accessible. One of these is the being of abstract tables (now and again called materialized query tables) that include pre-summarized or aggregated information, as a consequence permitting Db2 to evade re-aggregation processing. a further option is the starjoin entry course, ordinary within the facts warehouse, the plot the order of desk joins is modified for performance causes.

    The Optimizer then reports the candidate access paths and chooses the entry path, "with the bottom charge." imbue during this context skill a weighted summation of useful resource usage including CPU, I/O, memory and different substances. finally, the Optimizer takes the bottom can imbue access course, stores it in reminiscence (and, optionally, in the Db2 listing) and starts entry course execution.

    massive records and data warehouse operations now consist of utility suites that permit the business analyst to Make utilize of a graphical interface to construct and manipulate a miniature facts mannequin of the statistics they wish to analyze. The applications then generate SQL statements based on the users’ requests.

    The problem for the DBA

    with the aim to finish first rate analytics in your discrete statistics outlets you need an excellent realizing of the statistics requirements, an figuring out of the analytical capabilities and algorithms available and a excessive-performance statistics infrastructure. sadly, the number and location of facts sources is increasing (both in size and in geography), data sizes are growing to be, and applications proceed to proliferate in quantity and complexity. How may still IT managers back this environment, particularly with probably the most experienced and age staff nearing retirement?

    take into account additionally that a large a allotment of decreasing the overall cost of ownership of those techniques is to regain Db2 purposes to elude faster and extra effectively. This constantly translates into the usage of fewer CPU cycles, doing fewer I/Os and transporting less statistics across the community. in view that it is often problematic to even identify which purposes might advantage from performance tuning, one approach is to automate the detection and correction of tuning concerns. here is the plot desktop learning and ersatz intelligence can exist used to excellent effect.

    Db2 12 for z/OS and synthetic Intelligence

    Db2 version 12 on z/OS uses the desktop studying facilities outlined above to amass and store SQL query text and entry course particulars, as well as exact performance-related ragged tips equivalent to CPU time used, elapsed instances and outcomes set sizes. This providing, described as Db2 AI for z/OS, analyzes and stores the facts in machine learning fashions, with the model analysis results then being scored and made accessible to the Db2 Optimizer. The next time a scored SQL observation is encountered, the Optimizer can then utilize the mannequin scoring records as input to its entry path option algorithm.

    The result should still exist a reduction in CPU consumption as the Optimizer makes utilize of model scoring input to select superior access paths. This then lowers CPU charges and speeds software response instances. a gargantuan abilities is that the usage of AI software doesn't require the DBA to savor statistics science talents or profound insights into query tuning methodologies. The Optimizer now chooses the top-quality access paths based mostly now not handiest on SQL question syntax and facts distribution records but on modelled and scored ancient efficiency.

    This may too exist especially crucial if you deliver information in varied locations. for example, many analytical queries against massive facts require concurrent access to inescapable facts warehouse tables. These tables are generally referred to as dimension tables, and that they contain the records facets constantly used to manage subsetting and aggregation. as an example, in a retail environment correspond with a table referred to as StoreLocation that enumerates every withhold and its region code. Queries against deliver sales statistics may are looking to combination or summarize sales by using place; hence, the StoreLocation desk will exist used with the aid of some large facts queries. in this atmosphere it's commonplace to select the dimension tables and replica them constantly to the huge records application. in the IBM world this plot is the IBM Db2 Analytics Accelerator (IDAA).

    Now account about SQL queries from each operational applications, statistics warehouse users and large records business analysts. From Db2's perspective, everything these queries are equal, and are forwarded to the Optimizer. besides the fact that children, in the case of operational queries and warehouse queries they may still absolutely exist directed to entry the StoreLocation table within the warehouse. nevertheless, the question from the business analyst towards gargantuan information tables should doubtless entry the replica of the table there. This effects in a proliferations of talents entry paths, and more drudgery for the Optimizer. fortunately, Db2 AI for z/OS can give the Optimizer the information it must Make sensible entry direction decisions.

    the route it Works

    The sequence of pursuits in Db2 AI for z/OS (See Reference 2) is frequently perquisite here:

  • all the route through a bind, rebind, consequence together or interpret operation, an SQL statement is passed to the Optimizer;
  • The Optimizer chooses the facts access route; as the alternative is made, Db2 AI captures the SQL syntax, access path option and query performance records (CPU used, and so forth.) and passes it to a "getting to know assignment";
  • The gaining scholarship of project, which will too exist completed on a zIIP processor (a non-popular-goal CPU core that does not ingredient into utility licensing prices), interfaces with the laptop getting to know application (MLz model functions) to store this counsel in a mannequin;
  • as the amount of data in every model grows, the MLz Scoring provider (which can too exist accomplished on a zIIP processor) analyzes the mannequin data and rankings the behavior;
  • all through the subsequent bind, rebind, consequence together or clarify, the Optimizer now has access to the scoring for SQL models, and makes preempt alterations to access path selections.
  • There are too quite a lot of user interfaces that supply the administrator visibility to the popularity of the collected SQL commentary efficiency information and model scoring.

    abstract

    IBM's desktop researching for zOS (MLz) providing is getting used to exceptional consequence in Db2 edition 12 to enrich the efficiency of analytical queries in addition to operational queries and their linked functions. This requires administration attention, as you must examine that your company is ready to consume these ML and AI conclusions. How will you measure the expenses and advantages of the usage of computer researching? Which IT back group of workers savor to exist tasked to reviewing the consequence of model scoring, and perhaps approving (or overriding) the consequences? How will you overview and justify the assumptions that the utility makes about access direction selections?

    In different phrases, how smartly did you know your statistics, its distribution, its integrity and your current and proposed entry paths? this can verify where the DBAs disburse their time in assisting analytics and operational utility efficiency.

    # # #

    Reference 1

    John Campbell, IBM Db2 individual EngineerFrom "IBM Db2 AI for z/OS: multiply IBM Db2 software efficiency with desktop getting to know"https://www.worldofdb2.com/activities/ibm-db2-ai-for-z-os-raise-ibm-db2-utility-performance-with-ma

    Reference 2

    Db2 AI for z/OShttps://www.ibm.com/help/knowledgecenter/en/SSGKMA_1.1.0/src/ai/ai_home.html

    See everything articles by means of Lockwood Lyon


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    SAN FRANCISCO, Feb. 19, 2019 /PRNewswire/ -- Absolutdata, a leading statistics analytics enterprise, nowadays introduced that they've embedded IBM Watson capabilities into their NAVIK AI Platform to assist agencies construct an Intelligence Stack throughout income and marketing functions. The Watson greater NAVIK AI Platform combines statistics, analytics and expertise to optimize selections on an ongoing foundation without needing to construct a scholarship science team whereas the NAVIK AI revenue solution offers theatrical improvements in income and advertising effectiveness. The merits seen include salesforce effectiveness, client targeting, crusade administration and optimized conclusion making throughout industries.

    "many of their global shoppers savor an interest in attaining the business transformation that AI can bring," observed Dr. Anil Kaul, Co-founder and CEO of Absolutdata. "Yet they battle with the most advantageous routine to beginning, and the route to regain the promised scalable business impact. IBM Watson AI can carry results straight away, economically and at a scale that receives observed at the board stage." Dr. Kaul adds, "we are within the early degrees of businesses pile their intelligence stack and NAVIK enables their valued clientele to boost a strategic aggressive potential a superb route to ultimate a very long time."

    Integrating IBM Watson with Absolutdata's NAVIK AI platform and services enables clients to utilize analytical frameworks and herbal language processing to mine present earnings statistics. as a result, customers are more advantageous poised to determine hidden revenue streams, elude hyper-customized campaigns at scale and derive deeper company insights, in comparison to traditional strategies of resource-based analytics and mannequin development. this could profit agencies multiply productiveness, dispose of steer intervention and entry massive data units in true time, which was not feasible previous.

    Following a phased approach, Absolutdata has incorporated IBM Watson into NAVIK SalesAI, NAVIK MarketingAI, NAVIK ResearchAI and NAVIK MicroMods, with others below development. Absolutdata is too the utilize of other IBM functions such as weather to enhance effectiveness in inescapable modules.

    one of the world's biggest dairy companies is the utilize of NAVIK built-in with IBM Watson, to mine purchaser insights and drive quick advertising decisions about manufacturer, campaigns and pricing. The manufacturer's advertising and marketing group can classify and generate automatic insights from each structured and unstructured statistics rendered actual-time across cell contraptions and the web, decreasing resolution lead time from weeks to seconds with over 99 p.c uptime.

    Absolutdata's growing group of four hundred data scientists and engineers is enforcing AI solutions across customer needs and is receiving extensive practising on IBM Watson as a key allotment of the partnership.

    To learn more about Absolutdata and the NAVIK product line of clever analytics, gratify talk over with www.absolutdata.com.

    About Absolutdata

    Absolutdata items and services carry scalable enterprise savor an consequence on throughout the business by route of combining leading edge AI and ML with its tradition in analytical frameworks, enterprise realizing and expertise. Absolutdata's NAVIK AI Platform has pre-constructed solutions, customizable solutions, and enabling functions to regain an commercial enterprise AI-competent. The growing set of AI-powered SaaS options encompass NAVIK SalesAI, NAVIK MarketingAI, NAVIK ResearchAI and NAVIK MicroMods. The features groups build custom options in response to NAVIK AI. headquartered in 2001, Absolutdata is based in San Francisco and employs 450 specialists across workplaces in San Francisco, gargantuan apple, Chicago, London, Singapore, Dubai and Gurgaon. For extra information talk over with the Absolutdata site, examine their weblog, and observe us on LinkedIn and Twitter. www.absolutdata.com.

    Absolutdata Media contactSSPRabsolutdata@sspr.com

    source Absolutdata

    related links

    http://www.absolutdata.com


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    The Best Self-Service business Intelligence (BI) Tools of 2018 | killexams.com true questions and Pass4sure dumps

    Analytics Beyond Spreadsheets

    For many years, Microsoft outdo and other spreadsheets were the tools of option for business professionals who were looking to visualize their data. But spreadsheets had their limits for many business intelligence (BI)-related tasks. Even today, trying to creating charts analyzing complicated datasets in outdo can still exist frustrating. Sometimes you start with the wrong benign of data, for example, or you may not know how to manipulate the spreadsheet to create the data visualization{{/ZIFFARTICLE} you need. On the other hand, the rising tide of data democratization is giving everyone in an organization access to corporate data. The need has arisen for efficacious tools that people of everything skill levels can utilize to Make sense of the wealth of information created by businesses every unique day.

    Spreadsheets too drop down when the data isn't well-structured or can't exist sorted out in well-kept rows and columns. And, if you savor millions of rows or very sparse matrices, then the data in a spreadsheet can exist painful to enter and it can exist difficult to visualize your data. Spreadsheets too savor issues if you are trying to create a report that spans multiple data tables or that mixes in Structured Query Language (SQL)-based databases, or when multiple users try to maintain and collaborate on the selfsame spreadsheet.

    A spreadsheet containing up-to-the-minute data can too exist a problem, particularly if you savor exported graphics that need to exist refreshed when the data changes. Finally, spreadsheets aren't superb for data exploration; trying to spot trends, outlying data points, or counterintuitive results is difficult when what you are looking for is often hidden in a long row of numbers.

    While spreadsheets and self-service BI tools both Make utilize of tables of numbers, they are really acting in different arenas with different purposes. A spreadsheet is first and foremost a route to store and display calculations. While some spreadsheets can create very sophisticated mathematical models, at their core it is everything about the math more than the model itself.

    This is everything a long-winded route of aphorism that when businesses utilize a spreadsheet, they are actively sabotaging themselves and their skill to consistently regain valuable insights from their data. BI tools are specficially designed to profit businesses better understand their data, and can prove to exist a huge profit to those upgrading from what a limited spreadsheet can do.

    What Is business Intelligence?

    Defining BI is tricky. When you examine what it does and why companies utilize it, it can start to sound vague and nebulous. After all, many different kinds of software tender analytics features, and everything businesses want to improve. Understanding what a BI is or isn't can exist unclear.

    BI is an umbrella term meant to cover everything of the activities necessary for a company to rotate raw information into actionable knowledge. In other words, it's a company's efforts to understand what it knows and what it doesn't know of its own being and operations. The ultimate goal is being able to multiply profits and sharpen its competitive edge.

    Framed that way, BI as a concept has been around as long as business. But that concept has evolved from early basics [like Accounts Payable (AP) and Accounts Receivable (AR) reports and customer contact and constrict information] to much more sophisticated and nuanced information. This information ranges across everything from customer behaviors to IT infrastructure monitoring to even long-term fixed asset performance. Separately tracking such metrics is something most businesses can finish regardless of the tools employed. Combining them, especially disparate results from metrics normally not associated with one another, into understandable and actionable information, well, that's the craft of BI. The future of BI is already shaping up to simultaneously broaden the scope and variety of data used and to sharpen the micro-focus to ever finer, more granular levels.

    BI software has been instrumental in this steady progression towards more in-depth scholarship about the business, competitors, customers, industry, market, and suppliers, to title just a few feasible metric targets. But as businesses grow and their information stores balloon, the capturing, storing, and organizing of information becomes too large and complicated to exist entirely handled by mere humans. Early efforts to finish these tasks via software, such as customer relationship management (CRM) and enterprise resource planning (ERP), led to the formation of "data silos" wherein data was trapped and useful only within the confines of inescapable operations or software buckets. This was the case unless IT took on the task of integrating various silos, typically through painstaking and highly manual processes.

    While BI software still covers a variety of software applications used to anatomize raw data, today it usually refers to analytics for data mining, analytical processing, querying, reporting, and especially visualizing. The main dissimilarity between today's BI software and gargantuan Data analytics is mostly scale. BI software handles data sizes typical for most organizations, from little to large. gargantuan Data analytics and apps ply data analysis for very large data sets, such as silos measured in petabytes (PBs).

    Self-Service BI and Data Democratization

    The BI tools that were favorite half a decade or more ago required specialists, not just to utilize but too to interpret the resulting data and conclusions. That led to an often inconvenient and fallible filter between the people who really needed to regain and understand the business—the company conclusion makers—and those who were gathering, processing, and interpreting that data—usually data analysts and database administrators. Because being a data specialist is a demanding job, many of these folks were less well-versed in the actual workings of the business whose data they were analyzing. That led to a focus on data the company didn't need, a misinterpretation of results, and often a series of "standard" reporting that analysts would elude on a scheduled basis instead of more ad hoc intelligence gathering and interpretation, which can exist highly valuable in fast-moving situations.

    This problem has led to a growing unique trend among unique BI tools coming onto the market today: that of self-service BI and data democratization. The goal for much of today's BI software is to exist available and usable by anyone in the organization. Instead of requesting reports or queries through the IT or database departments, executives and conclusion makers can create their own queries, reports, and data visualizations through self-service models, and connect to disparate data both within and outside the organization through prebuilt connectors. IT maintains overall control over who has access to which tools and data through these connectors and their management implement arsenal, but IT no longer acts as a bottleneck to every query and report request.

    As a result, users can select advantage of this distributed BI model. Key tools and faultfinding data savor moved from a centralized and difficult-to-access architecture to a decentralized model that merely requires access credentials and familiarity with unique BI software. This results in a whole unique benign of analysis becoming available to the organization, namely, that of experienced, front-line business people who not only know what data they need but how they need to utilize it.

    The emerging crop of BI tools everything drudgery difficult at developing front-end tools that are more intuitive and easier to utilize than those of older generations—with varying degrees of success. However, that means a key criteria in any BI implement purchasing conclusion will exist to evaluate who in the organization should access such tools and whether the implement is appropriately designed for that audience. Most BI vendors witness they're looking for their implement suites to become as ubiquitous and simple to utilize for business users as typical business collaboration tools or productivity suites, such as Microsoft Office. not any savor gotten quite that far yet in my estimation, but some are closer than others. To that end, these BI implement suites tend to focus on three core types of analytics: descriptive (what did happen), prescriptive (what should occur now), and predictive (what will occur later).

    What Is Data Visualization?

    In the context of BI software, data visualization is a hastily and efficacious routine of transferring information from a machine to a human brain. The scheme is to plot digital information into a visual context so that the analytic output can exist quickly ingested by humans, often at a glance. If this sounds relish those pie and bar charts you've seen in Microsoft Excel, then you're right. Those are early examples of data visualizations.

    But today's visualization forms are rapidly evolving from those traditional pie charts to the stylized, the artistic, and even the interactive. An interactive visualization comes with layered "drill downs," which means the viewer can interact with the visual to reach more granular information on one or more aspects incorporated in the bigger picture. For example, unique values can exist added that will change the visualization on the fly, or the visualization is actually built on rapidly changing data that can rotate a static visual into an animation or a dashboard.

    The best visualizations finish not hunt artistic awards but instead are designed with role in mind, usually the quick and intuitive transfer of information. In other words, the best visualizations are simple but powerful in clearly and directly delivering a message. High-end visuals may explore impressive at first glance but, if your audience needs profit to understand what's being conveyed, then they've ultimately failed.

    Most BI software, including those reviewed here, comes with visualization capabilities. However, some products tender more options than others so, if advanced visuals are key to your BI process, then you'll want to closely examine these tools. There are too third-party and even free data visualization tools that can exist used on top of your BI software for even more options.

    Products and Testing

    In this review roundup, I tested each product from the perspective of a business analyst. But I too kept in mind the viewpoint of users who might savor no familiarity with data processing or analytics. I loaded and used the selfsame data sets and posed the selfsame queries, evaluating results and the processes involved.

    My even was to evaluate cloud versions alone, as I often finish analysis on the flee or at least on a variety of machines, as finish legions of other analysts. But, in some cases, it was necessary to evaluate a desktop version as well or instead of the cloud version. One example of this is Tableau Desktop, a favorite implement of Microsoft outdo users who simply savor an affinity for the desktop implement (and who just bolt to the cloud long enough to participate and collaborate).

    I ended up testing the Microsoft Power BI desktop version, too, on a Microsoft representative's recommendation because, as the rep said, "the more robust data prep tools are there." Besides, said the rep, "most users prefer the desktop implement over a web implement anyway." Again, I don't doubt Microsoft's title but that does appear unearthly to me. I've heard it said that desktop tools are preferred when the data is local as the process feels faster and easier. But seriously, how much data is truly local anymore? I suspect this odd desktop implement preference is a bit more personal than fact-based, but to each his own.

    Then there's Google Analytics, a sheer cloud player. The implement is designed to anatomize website and mobile app data so it's a different critter in the BI app zoo. That being the case, I had to deviate from using my test data set and queries, and instead test it in its natural habitat of website data. Nonetheless, it's the processes that are evaluated in this review, not the data.

    While I didn't test any of these tools from a data scientist's role, I did mention advanced capabilities when I establish them, simply to let buyers know they exist. IBM Watson Analytics is one implement with the skill to extend to highly advanced features and was too one of the easiest to utilize upfront. IBM Watson Analytics is well-suited for business analysts and for widespread data democratization because it requires little, if any, scholarship of data science. Instead, it works well by using natural language and keywords to configuration queries, a characteristic that can Make it valuable to practically anyone. It's highly intuitive, very powerful, and simple to learn. Microsoft Power BI is a stalwart second as it, too, is powerful while too familiar, certainly to any of the millions of Microsoft business users. However, there are several other powerful and intuitive apps in this lineup from which to choose; they everything savor their own pros and cons. We'll exist adding even more in the coming months.

    One thing to watch out for during your evaluations of these products is that many don't yet ply streaming data. For many users, that won't exist a problem in the immediate future. However, for those involved with analyzing business processes as they happen, such as website performance metrics or customer deportment patterns, streaming data can exist invaluable. Also, the Internet of Things (IoT) will drive this issue in the near future and Make streaming data and streaming analytics a must-have feature. Many of these tools will savor to up their game accordingly so, unless you want to jump ship in a year or two, it's best to account ahead when considering BI and the IoT.

    BI and gargantuan Data

    Another zone in which self-service BI is taking off is in analyzing gargantuan Data. This is a newer development in the database space but it's driving tremendous growth and innovation. The title is an apt descriptor because gargantuan Data generally refers to huge data sets that are simply too gargantuan to exist managed or queried with traditional data science tools. What's created these behemoth data collections is the explosion of data-generating, tracking, monitoring, transaction, and convivial media tools (to title a few) that savor become so favorite over the ultimate several years.

    Not only finish these tools generate loads of unique data, they too often generate a unique benign of data, namely "unstructured" data. Broadly speaking, this is simply data that hasn't been organized in a predefined way. Unlike more traditional, structured data, this benign of data is hefty on text (even free-form text) while too containing more easily defined data, such as dates or credit card numbers. Examples of apps that generate this benign of data include the customer behavior-tracking tools you utilize to perceive what your customers are doing on your e-commerce website, the piles of log and event files generated from some smart devices (such as alarms and smart sensors), and broad-swath convivial media tracking tools.

    Organizations deploying these tools are being challenged not only by a sudden deluge of unstructured data that quickly strains storage resources [think beyond terabytes (TB) into the PB and even exabyte (EB) range] but, even more importantly, they're finding it difficult to query this unique information at all. Traditional data warehouse tools generally weren't designed to either manage or query unstructured data. unique data storage innovations such as data lakes are emerging to resolve for this need, but organizations still relying exclusively on traditional tools while deploying front-line apps that generate unstructured data often find themselves sitting on mountains of data they don't know how to leverage.

    Enter gargantuan Data analysis standards. The golden touchstone here is Hadoop, which is an open-source software framework that Apache specifically designed to query large data sets stored in a distributed vogue (meaning, in your data center, the cloud, or both). Not only does Hadoop let you query gargantuan Data, it lets you simultaneously query both unstructured as well as traditional structured data. In other words, if you want to query everything of your business data for maximum insight, then Hadoop is what you need.

    You can download and implement Hadoop itself to fulfill your queries, but it's typically easier and more efficacious to utilize commercial querying tools that employ Hadoop as the foundation of more intuitive and full-featured analysis packages. Notably, most of the tools reviewed here, including Chartio, IBM Watson Analytics, Microsoft Power BI, and Tableau Desktop, everything back this. However, each requires varying levels of configuration or even add-on tools to finish so—with IBM, Microsoft, and Tableau offering exceptionally profound capabilities. However, both IBM and Microsoft will still anticipate customers to utilize additional tools around aspects such as data governance to ensure optimal performance.

    Finding the perquisite BI Tool

    Given the issues spreadsheets can savor when used as ad hoc BI tools and how firmly ingrained they are in their psyches, finding the perquisite BI implement isn't a simple process. Unlike spreadsheets, BI tools savor major differences when it comes to how they consume data inputs and outputs and manipulate their tables. Some tools are better at exploration than analysis, and some require a fairly abrupt learning curve to really Make utilize of their features. Finally, to Make matters worse, there are dozens if not hundreds of such tools on the market today, with many vendors willing to title the self-serve BI label even if it doesn't quite fit.

    Getting the overall workflow down with these tools will select some study and discussion with the people you'll exist designating as users. Tableau Desktop and Microsoft Power BI, for example, will start users out with the desktop version to build visualizations and link up to various data sources. Once you savor this together, you can start sharing those results online or across your organization's network. With others, such as Chartio or Google Analytics, you start in the cloud and abide there.

    In recent years, companies savor been taking advantage of the wide selection of online learning platforms out there to train their employees on using these platforms. As intuitive as these platforms may be, it is principal to Make sure that your employees actually know how to utilize these BI platforms so that you can Make sure your investment was worthwhile. There are many ways of approaching this, but using the perquisite online learning platform might exist a superb plot to start looking.

    Given the wide cost reach of these products, you should segment your analytics needs before you Make any buying decision. If you want to start out slowly and inexpensively, then the best route is to try something that offers significant functionality for free, such as Microsoft Power BI. Such tools are very affordable and Make it simple to regain started. Plus, they tend to savor large ecosystems of add-ons and partners that can exist a cost-effective replacement for doing BI inside a spreadsheet. Tableau Desktop still has the largest collection of charts and visualizations and the biggest partner network, though both IBM Watson Analytics and Microsoft Power BI are catching up fast.

    IBM Watson Analytics scored the highest, and Microsoft Power BI and Tableau Desktop scored the next highest in their roundup. However, everything three products received their Editors' option award. Tableau Desktop may savor a gargantuan cost tag depending on which version you select but, as previously mentioned, it has an exceptionally large and growing collection of visualizations plus a manageable learning curve if you're willing to dedicate some application to it. Microsoft Power BI and Tableau Desktop too savor large and growing collections of data connectors, and both Microsoft and Tableau savor their own sizable communities of users that are vocal about their wants and needs. This can carry a lot of weight with the vendors' development teams so it's a superb scheme to disburse some time looking through those community forums to regain an scheme where these companies are headed.

  • Pros: Extremely user-friendly. exotic automatic report generation. Impressive back availability.

    Cons: Automated reports can quickly become defaults. abrupt learning curve that might hurl beginners.

    Bottom Line: Zoho Reports is a solid option for universal business users who might not exist knowledgeable in analytics software. It's too available at an attractive price.

    Read Review
  • Pros: Accessible user interface. Smart guidance features. Impressively hastily analytics. Robust natural language querying.

    Cons: Unable to finish real-time streaming analytics.

    Bottom Line: IBM Watson Analytics is an exceptional business intelligence (BI) app that offers a stalwart analytics engine along with an excellent natural language querying tool. This is one of the best BI platforms you'll find and easily takes their Editors' option honor.

    Read Review
  • Pros: Extremely powerful platform with a wealth of data source connectors. Very user-friendly. Exceptional data visualization capabilities.

    Cons: Desktop and web versions divide data prep tools. Refresh cycle is limited on free version.

    Bottom Line: Microsoft Power BI earns their Editors' option deference for its impressive usability, top-notch data visualization capabilities, and superior compatibility with other Microsoft Office products.

    Read Review
  • Pros: immense collection of data connectors and visualizations. User-friendly design. Impressive processing engine. age product with a large community of users.

    Cons: full mastery of the platform will require substantial training.

    Bottom Line: Tableau Desktop is one of the most age offerings on the market and that shows in its feature set. While it has a steeper learning curve than other platforms, it's easily one of the best tools in the space.

    Read Review
  • Pros: Bottlenecks are eliminated thanks to in-chip processing. Impressive natural language query in third-party applications.

    Cons: Might exist too difficult for self-service business intelligence (BI). Analytics process still needs to exist ironed out. Natural language capability can exist limited.

    Bottom Line: Sisense is a complete platform that should exist favorite for experienced BI users. It may drop short for beginners, however.

    Read Review
  • Pros: Wide reach of connectors. Impressive sharing features. Limitless data storage.

    Cons: User interface is not intuitive. abrupt learning curve. Unwelcoming to unique analysts.

    Bottom Line: Domo isn't for newcomers but for companies that already savor business intelligence (BI) experience in their organization. Domo's a powerful BI implement with a lot of data connectors and solid data visualization capabilities.

    Read Review
  • Pros: Exceptional platform for website and mobile app analytics.

    Cons: Customer back has route too much automation. Focus on marketing and advertising can exist frustrating to users. Relies mostly on third parties for training.

    Bottom Line: Due to its brand recognition and the fact that it's free, Google Analytics is the biggest title in website and mobile app intelligence. It has a abrupt learning curve but it is an awesome business intelligence tool.

    Read Review
  • Pros: Designed with universal business users in mind. Solid recrudesce on investment.

    Cons: The data you can utilize is limited. Needs additional platform to connect.

    Bottom Line: The Salesforce Einstein Analytics Platform is designed for customer, sales, and marketing analyses, although it can server other needs, too. Its powerful analytics capabilities along with its solid natural language querying functionality and a wide array of partners Make it an attractive offering.

    Read Review
  • Pros: Real-time analytics for Internet of Things (IoT) and streaming data features. Massive ecosystem with plenteous extenders. Responsive pages Make mobile publishing easiest. Impressive storytelling paradigm. Centralized view with consolidated analytics.

    Cons: Data prep features are lacking. Confusing toolbar design. Not friendly for beginners.

    Bottom Line: If your business already uses SAP's HANA database platform or some of its other back-end business platforms, then SAP Analytics Cloud is a powerful, well-priced choice. But exist warned that there's a abrupt learning curve and a preeminent dependence on other SAP products for full functionality.

    Read Review
  • Pros: Impressive processing engine. Powerful query optimization on SQL. Entirely web-based. complicated queries are handled very well.

    Cons: Poorly designed user interface. abrupt learning curve.

    Bottom Line: Chartio excels at pile a powerful analytics platform that experienced business intelligence (BI) users will appreciate. Those unique to BI, however, will find it very difficult to use.

    Read Review
  • Pros: Very profound SQL modeling ability. Uses Git for version management and collaboration.

    Cons: Very expensive. Not for little teams.

    Bottom Line: Looker is a powerful self-service business intelligence (BI) implement that can profit unify SQL and gargantuan Data management across your enterprise.

    Read Review
  • Pros: Custom access roles. Solid collection of public data online.

    Cons: complicated pricing is a deterrent.

    Bottom Line: Qlik Sense Enterprise Server is a self-service business intelligence (BI) implement that delivers the best collection of user access roles among the BI tools they tested, and too demonstrates a promising start towards integrating Data-as-a-Service (DaaS).

    Read Review
  • Pros: One of the largest collections of data connectors. Many granular access roles.

    Cons: No free tribulation available. Training webinars can exist costly.

    Bottom Line: The company's Focus query language is showing its age but Information Builders' self-service business intelligence (BI) implement WebFocus nevertheless has some powerful analysis features.

    Read Review
  • Pros: Very simple to regain started. Nice team management and collaboration features.

    Cons: The cloud version has a subset of features establish in Windows version. Online documentation could exist improved.

    Bottom Line: While Tibco is still making the transition from a desktop to a cloud software vendor, its self-service business intelligence (BI) implement Tibco Spotfire is a powerful route to start visualizing your outdo data.

    Read Review
  • Pros: Excellent analytical back for Intuit QuickBooks. Very simple setup.

    Cons: Installation and setup is a bit of chore. No back for Intuit QuickBooks' online versions.

    Bottom Line: Clearify QQube is the best self-service business intelligence (BI) implement for in-depth analysis of your Intuit QuickBooks files, though you'll need to explore elsewhere for broader BI tasks.

    Read Review

  • ISC West Daily Report | killexams.com true questions and Pass4sure dumps

    Day one

    On Tuesday, I attended the annual DMP Owners Forum, which is “one the ways they parade their gratitude to their dealers,” Jon Adams, DMP dealer development manager, told a scope full of DMP’s top 100 dealers.

    This year’s speakers included Major Gen. (Ret.) Vincent Boles, who shared the wisdom he has gained throughout his military career, as well as some of his views on what makes a upright leader. Boles gave out his book—4-3-2-1 Leadership: What America’s Sons and Daughters Taught Me on the Road from Second Lieutenant to Two-Star General—to everything attendees. The other featured speaker was former Southwest Airlines senior even leader, Jason Young, author of the books The Culturetopia consequence and Servicetopia.

    Attendees too scholarly how DMP is giving dealers access to unique markets through a variety of unique platforms, including DMP’s CompanyStore, which enables dealers to participate in the DIY marketplace; Secura, a unique high-volume residential dealer program; OnDemand Monitoring, a unique revenue generator for dealers to tender to consumers that don’t want to note long term contracts; and unique avenues in home automation, including integration with AppleTV, Amazon reecho and Google Home.

    DMP executive management too featured sessions on unique technology that will exist available this summer, including previews of the DMP’s Gunshot Detector that goes on Existing DMP XR series panels and DMP’s unique Doorbell Camera, which designate Hillenburg, DMP’s executive director of marketing, said is “deeply integrated” and will “provide unique highly sought after functionality to the existing DMP Virtual Keypad, App and control panel family."

    Jeff Britton, DMP’s VP of product design, too walked attendees through DMP’s Tech App Platform, which was “developed to deliver time on unique installs and service calls and really to purge some of the service calls you are having to Make today. The platform will continue to grow because they feel there are a lot of things that your techs should exist able to finish perquisite from their phone or their tablet.”

    Day Two

    On Wednesday, I began my day at Axis Communications’ 10th annual press breakfast. With the theme of “The Magic of IoT,” Fredrik Nilsson, VP Americas, and Martin Gren, founder, who were both dressed as magicians—you gotta love these guys!—talked about how the company plans to bring the selfsame innovation and “magic” that it brought to camera technology to other products, such as its Network Speakers, which Make up an integrated audio system that is example for retail settings. Axis too teamed up with Cognimatics to develop analytic capabilities for its upright View People Counter, which is too example for retail environments, providing valuable business intelligence data.

    Gren too provided a preview of its newest technology—the AXIS D2050-VE Network Radar Detector, an outdoor motion detector with radar technology that can provide cost-efficient perimeter protection and reduce indelicate alarms. The Company is too previewing at ISC West a selection of products that will exist launched later this year, including unique lofty resolution fixed domes in AXIS M30 Series, AXIS P32 Series, and AXIS Q35 Series. Axis too unveiled its AXIS FA series with modular cameras for highly discreet, cost-efficient video surveillance, and three unique additions to AXIS P13 series that tender 4K resolution in full frame rate and that enable coverage of large areas with lofty image detail.

    Following the breakfast I headed to the parade floor, which was abuzz with lofty traffic and early indicators point to a record year in terms of attendance for this year’s show.

    My first booth visit was at Legrand, a global specialist in electrical and digital pile infrastructures. Manny Linhares, director of strategy, IoT, told me about Eliot, a Legrand global IoT program, that “brings the promise of interoperability, providing the pile blocks and infrastructure to enable IoT and bring connectivity to where it is needed.”

    Moving to the Qolsys showcase room, I was able to test drive the company’s second generation panel, which is sleeker and more powerful with some very wintry unique capabilities. Kevin Woodworth, director of technical account management, pointed out that the panel is the culmination of “all of the lessons they scholarly from their first panel, and what they scholarly from dealer feedback.” The panel has a 7-inch HD touchscreen with built-in 5MP camera and multiple wireless radios, as well as LTE connectivity, advanced encryption, a built-in router, a glass wreck detector, dual path connectivity and Bluetooth disarming, to title just a few of the upgrades.

    Over at the FLIR Systems booth, I was given a demo of the FLIR United VMS 8.0, the latest version of the company’s comprehensive, enterprise-level video management solution for managing video security operations. The company introduced three high-performance security cameras, including the FLIR PT-Series HD thermal and visible camera system, the FLIR Quasar 4K fixed box camera, and the FLIR Ariel 3MP (3-megapixel) corner camera. everything three cameras integrate with FLIR United VMS 8.0 and expand the company’s end-to-end line of security solutions. I too got a demo of the company’s Cameleon command and control platform.

    At the Interlogix booth, the company was highlighting TruVision Navigator 7, the latest release of its favorite video management software. TruVision Navigator 7 now works seamlessly with Interlogix TruPortal access control systems and IFS network switches, allowing suspension users to manage their entire security system from one single, easy-to-use interface.

    This year’s ASSA ABLOY Press Event focused on “Security in the IoT Age,” and Martin Huddart, president, looked at how IoT will influence security. He aptly pointed out, “We are producing data, not products today,” noting that the key as they bolt forward as an industry is “bringing everything these devices together.”

    Next, I caught up with Denis Hebert, president, Feenics, a provider of cloud-based access control solutions. The company launched its enterprise withhold by Feenics platform that delivers scalability, flexibility and advanced security. The unique cloud-based access control as service (ACaaS) platform integrates aboriginal visitor management, and incorporates RESTful API that dramatically simplifies integrating complementary systems plus connecting withhold to applications outside of the organization. Built specifically for the cloud and hosted by Amazon Web Services, withhold significantly minimizes costs through simple, maintenance-free upgrades and patches. 

    At the LifeSafety Power booth, Joe Holland, vice president of engineering, gave me a glimpse into how the company continues to “innovate the category of power,” with unique predictive analytics and faultfinding reporting capabilities. The company announced a breakthrough in connecting knowing power management analytics to leading software manufacturers directly through bona fide Mercury Security hardware.  “This truly enhances and expands the potential for systems integrators to tender remote power management to customers who will profit from predictive analysis and detailed reporting on the health and well-being of their solutions,” said Holland.

    I too met with Glen L. Smith, director, dealer operations, ADT, who told me about the powerful strides the ADT Dealer Program has made in the past year alone. In the zone of back for dealers, the company went from a net promoter score of -9 to 76 in just 18 months. How did they finish this? “We asked their dealers what was broken,” said Smith, who preeminent that response time was a gargantuan issue for dealers. In response to this concern, Smith said they went from a two-hour hold time to a zero hold time in just one year.

    At the Bosch Security Systems booth, the company featured a completely unique portfolio of IP cameras and video analytics that extend surveillance beyond security, services that create recurring monthly revenue opportunities for dealers, and an all-in-one wireless multi-sensor that can exist configured as a door/window contact, water or tilt sensor. Bosch too introduced In-Store Analytics, a solution to provide retailers with valuable insights on store traffic for improving operations, customer tryst and sales.

    At the Alarm.com booth, Brian Lohse, director, commercial sales, talked about the company’s strategy to select what it has been doing on the residential side and bring that to the SMB space. On the residential side, the company’s open platform continues to expand integrations with a broad reach of devices to profit its dealer partners extend their footprint in the smart home. Alarm.com has too extended 4G LTE communications capabilities.  In addition, Alarm.com highlighted its business Intelligence service that helps its dealer partners lower attrition by analyzing data points.

    Next, I caught up with Jeff Whitney, VP of marketing for Arecont Vision, who went over some of the gargantuan announcements for the company at the show, including Arecont Vision SNAPstream bandwidth reduction technology that supports multiple unique and existing megapixel cameras; SurroundVideo Omni G3 Omnidirectional multi-sensor cameras with remote setup; Arecont Vision Compact MicroBullet indoor/outdoor, day/night megapixel camera; and Arecont Vision MicroDome G2 with Integrated IR indoor/outdoor day/night ultra-low profile megapixel camera.

    At the Pelco by Schneider Electric booth, Sharad Shekhar, CEO, Pelco SVP, video line of business, and Diane Feliciano, VP, global marketing, spoke about how the company has spent the ultimate 12-18 months “transforming and repositioning the company” for the future. “We savor been making changes across the entire organization for the ultimate couple of years, from technology developments to unique sales, back and operations programming,” said Feliciano. Pelco too showcased several unique and enhanced products and systems, including its VideoXpert Video Management System (VMS); Sarix Enhanced IP Cameras with preloaded analytics on every model; ExSite Enhanced Explosion-Proof Cameras; and Optera Panoramic Multi-Sensor Cameras.

    I finished my day with a visit to the Altronix booth, where Kirby Han, craft director, took me through the company’s latest upgrades and unique products, including its unique NetWay Spectrum Fiber Solutions, its eBridge 800E EoC Receiver with Integral PoE Switch and its expanded NetWay Line with unique managed midspans and endspans.

    Day Three

    I started day three at the Allegion Trends Talk breakfast, where I was able to converse with Rob Martens, futurist and VP, strategy & partnerships, about how the company is leveraging the latest technologies to provide the best solutions for customers. “I am the tip of the spear when it comes to unique technology,” he said. “I create the chaos that the company has to deliver on.” Product wise, the company’s Engage platform is expanding to include many more products, “so that even of connectivity is now getting rolled out and becoming a reality.”

    At the Genetec booth, I spoke with Andrew Elvish, VP, marketing and product management, about the success of the company’s Mission Control system, which he said is “a game changer,” as the conclusion back system provides organizations with heightened levels of situational intelligence, visualization, and complete incident management capabilities. He too pointed to how the company’s Retail Intelligence application provides business intelligence and operational efficiencies. The company too highlighted the latest capabilities of its Synergis access control system, allotment of its Security focus unified offering.

    At the AMAG Technology booth, I met company president Kurt Takahashi, and spoke with Kim Rahfaldt, public relations manager. The company unveiled Symmetry CONNECT, its unique policy-based identity management system that delivers an simple to use, automated software platform to manage employee, contractor and visitor identities, fill regulatory audit and compliance requirements and reduce the administrative costs of the security team. When used with Symmetry Access Control, organizations savor a robust identity management system that utilizes data to secure people, property and assets, and automates business processes for better operational efficiency.

    At the HID Global booth, I spoke with Anthony Petrucci, director of global public relations and corporate communications, about the company’s unique indoor Location Services for workforce optimization, which won the SIA unique Product Showcase award. The Location Services provide organizations with visibility into the location of their workforce in a facility, making it feasible to anatomize scope usage for better pile management and increased operational efficiency. He too spoke about how the company is leveraging Bluetooth low energy (BLE) for unique and emerging applications in the connected environment, as well as the role of mobile access, advanced smart card technology and biometrics in the company’s overall strategy.

    At the Milestone booth, I spoke with Courtney Dillon Pederson, communications manager, about the company’s strategic alliance with Lenel, which will inaugurate selling Milestone Systems Video Management Software (VMS) solutions directly through the Lenel Value Added Reseller (VAR) channel in North America. “We are really excited about this partnership and believe this is a powerful combination,” she said, noting that this alliance will reduce the total cost of ownership for users.

    I next visited the Eagle Eye Systems/Brivo booth, and sat down with Dean Drako, president and CEO for Eagle Eye, who shared his views on the “continued adoption of cloud.” He too talked about the technology partnership with Hikvision to deliver customers a seamless and cybersecure cloud video surveillance solution. Eagle Eye too highlighted that is has added Camera Cyber Lockdown to everything its products, which blocks cameras from communicating with the Internet, stops them from being attacked and compromised. Drako too spoke about the company’s implementation of two-factor authentication, which “will exist the touchstone for the industry moving forward.”

    At the IDIS booth, I was able to sit down with company president and COO Albert Ryu, who shared his views on how the company is poised to leverage technology to provide the customized solutions for customers. He too spoke about how the company, which is celebrating 20 years, is “bringing AI to security.” On the product side, the company featured H.265 IPC/NVR products, including the unique IDIS 12MP Super Fisheye Camera. too featured were unique low light and long distance solutions, and end-user focused enhancements to the company’s award-winning PTZ tracking controls, IDIS Smart UX Controls v2.0 and retail analytics/business intelligence suite IDIS VA in the Box. The company too highlighted its powerful 64-channel IDIS DR-8364 NVR, which delivers enterprise-level performance at an NVR price. Moving over to the Hanwha Techwin booth, Miguel Lazatin, director of product and channel marketing, North America, walked me through everything of the unique features and capabilities of the Wisenet 5 chip, which was unveiled recently. The unique chip powers the Wisenet X series, a unique product line that features 27 models split up between 2MP and 5MP camera lines. Features include 150dB WDR performance and limpid images in extreme low light conditions, convenient USB port is too available for simple setup and installation, as well as license-free audio and video analytics, dual SD card slot for increased onboard storage and image stabilization using gyro sensors. The company too announced that it is investing $100 million to create a security-only manufacturing facility in Vietnam.

    Next, Dahua product marketing manager Jennifer Hackenburg, gave me a tour of the booth, showing me how the company is embracing “deep learning,” pointing out that the company is “ahead of the curve” in leveraging everything of the enhanced capabilities that profound learning can provide. The company announced that it is working with NVIDIA to bring ersatz intelligence (AI) functionality to its next-generation profound learning products. Equipped with NVIDIA GPUs, the Dahua DeepSense advanced high-capacity video analytics server provides profound learning capabilities. The technology delivers a powerful, scalable routine of extracting rich metadata and processing structural data to deliver hastily and accurate analytics. Dahua too announced that Movidius’ Myriad 2 Vision Processing Unit (VPU) technology will power select Dahua video surveillance cameras with advanced intelligence functions that train the devices to gather, analyze, and retain information much relish the human brain.

    I next visited with Jim Hoffpauir, president, Zenitel, at the Vingtor Stentofon booth. He showed me how the company’s Turbine Intercom Station can provide a host of solutions, in any setting, from schools to airports to military and government applications. He too talked about his dedication to educating customers on how to pick the perquisite system, and he created a scorecard to follow. He preeminent that it is principal to savor three key features—intelligibility, interoperability and the “ilities,” which relates to “high availability, scalability, defensibility and maintainability.”

    At the Tyco-Johnson Controls booth, I spoke with Roger Barlow, senior director, product management, TycoSP about a number of unique products across its intrusion, access control and video divisions, and how the company is benefitting from the “synergies between Tyco and Johnson Controls,” he said. He too showed the DSC iotega, the company’s unique innovative security and lifestyle management platform. A full-featured security technology, iotega facilitates home automation enhancements and add-ons via software apps. The company too announced its SG System 5 now supports PSTN line cards on the SG-System 5 receiver to give central stations the flexibility to monitor both IP and PSTN warning signals, and how its EntraPass depart back for Apple Watch is the “industry’s first Apple Watch mobile credential that allows card holders to utilize the watch as a mobile access control credential."

    At the Sureview Sytems booth, Simon Morgan, chief technology officer, gave me a demo SureView PSIM Solutions, which he pointed out, “improve security, optimize operations and reduce costs. He showed me how the Immix CC Platform delivers more integrations, simple deployment and simple operation. He said SureView Immix CC Simplifies PSIM deployment and operation, featuring “intuitive UI, more integrations and unique architecture, which deliver unprecedented ease of operation and versatility.”

    Next, I visited Ditek, a surge protection company that works closely with the security industry to protect vital systems and paraphernalia from being damaged by power surges, saving money in the process. Jorge Andino, territory sales engineer, pointed out that the company does this by providing a site survey for each project, giving that customer the perquisite surge protection paraphernalia to meet their needs. “Our surge protection paraphernalia acts as the sacrificial lamb, preventing costly damage to the equipment.”

    I finished my day speaking with Rick Caruthers, executive VP, Galaxy Control Systems, who told me about the company’s unique announcement that is “committing resources and manpower to providing cloud solutions to their customers,” he said. The Galaxy Cloud Concierge solution is a complete turnkey, cloud-based, fully hosted and managed access control and monitoring solution that includes professional 24/7 management and supports industry touchstone access technologies.

    Day Four

    On Friday I started the day at the Morse Watchmans booth speaking with George Lawson, account executive, and Joseph Granitto, COO, about the company’s key control and access management security systems, which are getting smarter and safer with a lot more functionality. “We select feedback from customers to add unique features and Make their products easier to use,” said Lawson. In addition to an improved motherboard powering its systems, the company is unveiling a unique enterprise-based software system. And its Asset Watcher, which the company tested exhaustively over the past year, is set to near out soon as well.

    At the Pivot3 booth, I spoke with Brandon Reich, surveillance business leader, about the company’s strategic original paraphernalia manufacturer (OEM) relationship with knowing Security Systems (ISS), an innovator in the development of advanced video management and video analytics software. Under the agreement, ISS will license the Pivot3 hyperconverged infrastructure (HCI) platform and integrate it with ISS video management software (VMS) to supply more robust security intelligence and video storage options to customers. “We are really excited about that partnership,” said Reich. “We can provide a powerful solution set together.”

    At the Eizo booth, I spoke with Keisuke Akiba, product and marketing manager, and Brian Cote, about the company’s security and surveillance monitoring solutions. The IP decoding monitors near equipped with visibility enhancement technology for improving the clarity of video footage in true time. Akiba demonstrated the multi-monitor flexibility and showed me the 4k IPS 31.5-inch monitor with 3840 x 2160 aboriginal resolution.

    Over at the Boon Edam booth, Tracie Thomas, marketing manager, gave me an overview of the company’s many entry solutions, as well as intelligence on the company’s expanding sales and customer service staff to back record sales growth. The company too announced the expansion of its product-training schedule, with more programs and locations. And, soon, Boon Edam will tender its revolving door specifications on the ARCOM MasterSpec platform, which is widely used by architect and design firms in North America for commercial buildings.

    At the 3xLOGIC booth, Suzi Abell, tradeshow and events manager, shared parade news, including the company’s unique integrated, hosted video and access control solution for the SMB market and the company’s partnership with Bold Technologies to tender an advanced video solution. The companies recently completed integration of Bold’s ManitouNEO with the 3xLOGIC VIGIL video platform, which supports cloud-managed video. The company too announced the release of a unique multi-sensor camera and updated VIGIL software.

    At the Panasonic booth, Charlie Hare, national category manger, security and evidence management solutions, walked me through some of the company’s gargantuan announcements at the show, including the company’s expanded portfolio of i-PRO Extreme Surveillance Technology and its unique i-PRO Extreme PTZ Camera with Advanced Analytics, as well as its latest video surveillance solutions. The i-PRO features a unique chip set that produces “amazing picture quality,” said Hare.

    Over at the ReconaSense booth, Clayton Brown, product manager, described the company’s next-generation situational awareness platform, which provides “the tools to fulfill real-time faultfinding analysis,” he said. John Carter, the CTO of ReconaSense, is a former NASA engineer. The software leverages the IoT and gargantuan data with access control and video analytics to drive “proactive response” across diverse systems. By connecting the dots and alerting operators of suspicious events, the technology facilitates better decision-making and optimal resource allocation.

    My final booth visit was over at NVIDIA, which was showcasing some of its latest IVA-related, AI technology for smart and safe cities, featuring many partners such as IBM, Hikvision and Dahua. Deepu Talla, VP/GM, autonomous machines, showed me how the company’s GPU computing is not only powering its many partners but “driving the latest applications for safety and security in AI cities,” he said, including public safety, traffic management, deportment analysis, video analytics, anomaly detection, facial recognition, hastily forensics, parking management and robotics.

    NOTE: In addition to daily reports, explore for ssnTVnews video interviews from the parade floor, including my video interviews with Bill Bozeman, president and CEO, PSA Security Network; Dan Moceri, executive chairman and founder, and Ken Lochiatto, president and CEO, Convergint Technologies; Maureen Lally, VP of marketing, TycoIS; Richard Tampier, senior director, sales and product strategy, Red Hawk Fire & Security; Craig Layers, senior VP. sales and marketing, ADS Security; and Jon Cropley, principal analyst, video vurveillance, IHS Markit.


    Intel Advances Next side of gargantuan Data Intelligence: true Time Analytics | killexams.com true questions and Pass4sure dumps

    SANTA CLARA, Calif.--(BUSINESS WIRE)--To profit companies in a variety of industries from retail and healthcare to banking and transportation rotate data into actionable insights, Intel Corporation today introduced the Intel® Xeon® processor E7 v2 family.

    Using analytics enables businesses to Make decisions that better top-line and bottom-line results. The Intel Xeon processor E7 v2 family delivers unique capabilities to process and anatomize large, diverse amounts of data to unlock information that was previously inaccessible.

    “Organizations that leverage data to accelerate business insights will savor a tremendous edge in this economy,” said Diane Bryant, senior vice president and universal manager of Intel’s Data focus Group. “The advanced performance, memory capacity and reliability of the Intel Xeon processor E7 v2 family enable IT organizations to deliver real-time analysis of large data sets to spot and capitalize on trends, create unique services and deliver business efficiency.”

    Big data and the Internet of Things (IoT) are providing immense opportunities for many organizations to grow as they create revenue-generating services from the information they are able to derive. The gargantuan data technology and services market is expected to grow 27 percent annually through 2017 to reach $32.4 billion4. A leading driver of this growth is the immense amount of data coming from connected devices making up the IoT, which is projected to grow to 30 billion devices by 20205. Investments in the highest performing technologies and analysis solutions can too deliver significant cost savings. For example, Intel’s IT organization expects to achieve cost savings and increased bottom-line revenue of nearly half a billion dollars through utilize of analytics solutions by 2016.

    New gargantuan Data Processing and Analytics Capabilities with Relentless Reliability

    The Intel Xeon processor E7 v2 family has triple the memory capacity of the previous generation processor family, allowing much faster and thorough data analysis. In-memory analytics places and analyzes an entire data set – such as an organization’s entire customer database – in the system memory rather than on traditional disk drives. This routine is gaining in popularity due to the increased need for more complicated analytics. Industry analyst solid Gartner expects 35 percent6 of mid- to large-sized companies will adopt in-memory analytics by 2015, up from 10 percent in 2012 and predicts at least 50 percent of Global 2000 companies will utilize in-memory computing to deliver significant additional benefits from investments in enterprise resource planning (ERP).

    eBay, one of the world's largest and most complicated online marketplaces, handles massive data sets of more than 50 petabytes (PB) for more than 100 million users. Based on initial testing of the unique Intel Xeon processor E7 v2 and SAP’s HANA* in-memory analytics software, eBay has seen greater performance7 and understanding of larger data sets that will profit drive additional revenue opportunities for its customers.

    Built for up to 32-socket8 servers, with configurations supporting up to 15 processing cores and up to 1.5 terabytes (TB) of memory per socket, the unique processor family achieves twice the tolerable performance of the previous generation3. These enhancements profit businesses that elude mission faultfinding applications including business back systems (BSS), customer relationship management (CRM), and ERP to operate more efficiently, at lower cost and with faster response times2. For example, a sales team with these capabilities can maximize revenue by pinpointing the best time to sell a product, or let an oil and gas company better foretell when its platforms require preventative maintenance.

    To reduce data bottlenecks, the Intel Xeon Processor E7 v2 family features Intel® Integrated I/O, Intel® Data Direct I/O and back for PCIe 3.0*, achieving up to four times the I/O bandwidth over the previous generation9 and providing extra capacity for storage and networking connections.

    System uptime and reliability too remains a key requirement for mission faultfinding applications. The Intel Xeon Processor E7 v2 family continues Intel’s tradition of delivering world-class reliability, availability and serviceability (RAS). Intel® elude sure Technology10 is designed for “five nines” solutions essential for business-critical data by reducing the frequency and cost of planned and unplanned downtime.

    Extensive Industry Support

    Starting today, 21 system manufacturers from around the world will advertise more than 40 Intel Xeon processor E7 v2 family-based platforms. These manufacturers include Asus*, Bull*, Cisco*, Dell*, EMC*, Fujitsu*, Hitachi*, HP*, Huawei*, IBM*, Inspur*, Lenovo*, NEC*, Oracle*, PowerLeader*, Quanta*, SGI*, Sugon*, Supermicro*, Unisys* and ZTE*. Numerous analytics software vendors too back Xeon processor E7 v2 family-based platforms, including Altibase*, IBM*, Microsoft*, Oracle*, Pivotal*, QlikView*, Red Hat*, SAP*, SAS*, Software AG*, Splunk*, Sungard*, Teradata*, TongTech*, Vertica* and YonYou*.

    About Intel

    Intel (NASDAQ: INTC) is a world leader in computing innovation. The company designs and builds the essential technologies that serve as the foundation for the world’s computing devices. Additional information about Intel is available at newsroom.intel.com and blogs.intel.com.

    Intel, Intel logo and Intel Xeon are trademarks of Intel Corporation in the United States and other countries.

    *Other names and brands may exist claimed as the property of others.

    Software and workloads used in performance tests may savor been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software, operations and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products.

    Results savor been measured by Intel based on software, benchmark or other data of third parties and are provided for informational purposes only. Any dissimilarity in system hardware or software design or configuration may influence actual performance. Intel does not control or audit the design or implementation of third party data referenced in this document. Intel encourages everything of its customers to visit the websites of the referenced third parties or other sources to substantiate whether the referenced data is accurate and reflects performance of systems available for purchase.

    The TCO or other cost reduction scenarios described in this document are intended to enable you to regain a better understanding of how the purchase of a given Intel product, combined with a number of situation-specific variables, might influence your future cost and savings. Nothing in this document should exist interpreted as either a promise of or constrict for a given even of costs.

    1. Intel Xeon processor E7 v2 family provides the largest memory footprint of 1.5 TB per socket vs 1TB per socket delivered by alternative architectures, based on published specs.

    2. Up to 80% leadership performance on Xeon E7 v2 over IBM Power* 7+ at ~80% lower TCO title based on Intel estimated SPECint*_rate_base2006 results and pricing of comparable 4-socket rack server using Intel® Xeon® processor E7-4890 v2 (37.5M Cache, 2.8 GHz, 15-Cores) to IBM POWER*750 using POWER7+ (80M Cache, 4.0 GHz, 8-Cores) as of December 2013.

    3. Up to double the tolerable generational performance based on results of six key industry-standard workloads: SPECint*_rate_base2006+, SPECfp*_rate_base2006+, brokerage on-line transaction processing (OLTP) database workload, warehouse supply chain OLTP database workload, STREAM memory bandwidth and LINPACK GFLOPS. Configurations: 4-socket server using Intel® Xeon® processor E7-4890 v2 (new processor) vs. E7-4870 (previous generation processor). Learn more about Xeon E7 v2 performance at http://www.intel.com/content/www/us/en/benchmarks/server/xeon-e7-summary.html

    4. Source: IDC WW gargantuan Data Technology and Services 2013-2017 Forecast, Doc #244979, Dec 2013

    5. Source: IDC Market Analysis Perspective: Worldwide Enterprise Servers, 2013 — Technology Market, Doc #245080

    6. Source: Gartner "Top Technology Trends, 2013: In-Memory Computing Aims at Mainstream Adoption"

    7. eBay’s test systems configurations are not disclosed but the observed results are consistent with Intel’s internal measurements from November 2013 showing 2x performance multiply when using SAP HANA based on these configurations:Baseline 1.0x: Intel E7505 Chipset using four Intel Xeon processors E7-4870 (4P/10C/20T, 2.4GHz) with 256GB DDR3-1066 memory scoring 110,061 queries per hour. Source: Intel Technical Report #1347.New Generation 2x: Intel C606J Chipset using four Intel Xeon processors E7-4890 v2 (4P/15C/30T, 2.8GHz) with 512GB DDR3-1333 (running 2:1 VMSE) memory scoring 218,406 queries per hour. Source: Intel Technical Report #1347.

    8. Requires node controller (available from 3rd party sources).

    9. Up to 4X I/O bandwidth title is based on Intel estimates on an internal bandwidth implement running the 1R1W test of the Intel Xeon processor E7-4890 v2 performance normalized against the improvements over dual-IOH Intel Xeon processor E7-4870.

    10. No computer system can provide absolute reliability, availability or serviceability. Requires an Intel® Xeon® processor E7-8800/4800/2800 v2 product families or Intel® Itanium® 9500 series-based system (or follow-on generations of either). Built-in reliability features available on select Intel® processors may require additional software, hardware, services and/or an internet connection. Results may vary depending upon configuration. Consult your system manufacturer for more details.



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    References :


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    Google+ : https://plus.google.com/112153555852933435691/posts/2Typ1tLiB3c?hl=en
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    zoho.com : https://docs.zoho.com/file/2q0x2b9f7a1eb56cb434b95ec1e8a5f2d18d8











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