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000-N07 IBM Optimization Technical Mastery Test v1

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000-N07 exam Dumps Source : IBM Optimization Technical Mastery Test v1

Test Code : 000-N07
Test name : IBM Optimization Technical Mastery Test v1
Vendor name : IBM
: 30 real Questions

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IBM IBM Optimization Technical Mastery

Sandvik and IBM usher in the Fourth Industrial Revolution to the Mining industry with IBM Watson | killexams.com real Questions and Pass4sure dumps

Barminco, Hindustan Zinc, Petra Diamonds and Vedanta Zinc alien faucet into the Sandvik and IBM relationship to improve operations and safety in underground challenging-rock mining

Award-profitable OptiMine® Analytics with IBM Watson IoT for predictive protection and optimization, analyzes, learns and communicates with gadget operating heaps of feet underground

TAMPERE, Finland and ARMONK, N.Y., April 1, 2019 /PRNewswire/ -- Joint customers of IBM (NYSE: IBM) and Sandvik Mining and Rock expertise, one of the world's biggest premium mining machine producers, are tapping the powers of IoT, advanced analytics and ersatz intelligence to recognise security, maintenance, productivity and operational efficiency.

The mining and rock excavation industry is beneath growing power to boost the global give of minerals to fulfill the needs and expectations of a rapidly rising world inhabitants. This frequently requires extracting from increasing enhanced depths, which could create it intricate to talk and act as integral when device fails or has to subsist serviced.

OptiMine® Analytics transforms records into process advancements by the use of predictive insights and actionable dashboards embedded into operation administration methods. the usage of the analytics capabilities from IBM Watson IoT, this counsel management retort makes it possible for mining corporations to combine machine and utility information from disparate sources in actual-time, analyzing patterns within the information to embolden enrich availability, utilization and efficiency.

via a collection of IBM Design considering workshops, IBM and Sandvik labor with purchasers to enlarge a framework to form offerings round statistics driven productivity and predictive maintenance. the use of the Watson IoT know-how, Sandvik and IBM like jointly created a platform in a position to harmonize to the stringent reliability and security necessities of mining operations. Predictive protection technology leveraging IoT sensor facts has additionally been introduced as share of this platform.

"Proactively selecting preservation wants before anything breaks is resulting in great can imbue and time discounts," notable Patrick Murphy, president, Rock Drills & applied sciences, Sandvik. "Our award-profitable OptiMine® Analytics with IBM Watson IoT options present their purchasers a extra complete view of their operations for smarter, safer and greater productive work."

Sandvik and IBM consumers similar to Petra Diamonds and Barminco are using IoT to assist in the reduction of miner exposure to hostile labor environments and boost security.

"Our excellent precedence is the security of their employees and if a laptop fails underground, they necessity instant perception into what is going on in that tunnel," pointed out Luctor Roode, government operations at Petra Diamonds. "With the solution from Sandvik and IBM, they like real-time records that permits us to automatically determine the root understanding for the issue and act for this reason." 

"Leveraging information is eddy into increasingly valuable across the mining sector. through analytics, computer learning and AI, they are seeing new percentages for increased operational effectivity," observed Paul Muller, chief executive officer, Barminco. "Our partnership with Sandvik's OptiMine® Analytics permits us to fast-song their efforts, leveraging Sandvik's entire-of-fleet data and innate computer expertise."

OptiMine® Analytics will moreover subsist used by pass of Vedanta Zinc foreign's Black Mountain Mining (BMM) operations in South Africa's Northern Cape Province, to accelerate information-pushed operations for protection, effectivity and productivity for vehicles, loaders and drills. additionally, Hindustan Zinc, one of the most world's greatest integrated producers of zinc, lead and silver has tapped Sandvik to invoke a gigantic digital transformation at its Sindesar Khurd Mine, India, to create certain unseemly required infrastructure and structures can obtain world-category mining safety, effectivity and productiveness.

"Sensors and monitoring programs for asset management is simply the starting when it involves how ersatz intelligence will disrupt the mining business," stated Jay Bellissimo, everyday manager, Cognitive manner Transformation, IBM world enterprise features. "growing an retort that turns the statistics into actionable insights is a delicate matter. It requires an interdisciplinary exertion spanning across mining know-how, application engineering and statistics science. IBM and Sandvik are now on path to embolden transform the mining expense chain with the fusion of cognitive capabilities into miners industry and working procedures."

Story continues

Sandvik has been delivering solutions within the mining automation enterprise for many years, with self enough operations in more than 60 mines on six continents. This footprint is a huge asset to the technique optimization solutions in greater and better demand. For its part, IBM has been working with leading mining valued clientele to infuse cognitive capabilities of their enterprise and operating approaches, growing the Cognitive cost Chain for Mining. This multidisciplinary strategy leverages and expands on the concepts of the fourth industrial revolution via helping miners obtain new effectivity rate reductions, while not having to create tremendous-scale capital investments.  

Sandvik community Sandvik is a high-tech and international engineering community providing items and services that raise customer productiveness, profitability and security. They hang world-main positions in chosen areas – rig and tooling techniques for steel slicing; machine and equipment, service and technical solutions for the mining industry and rock excavation within the progress industry; items in superior stainless steels and special alloys as well as items for industrial heating. In 2018, the neighborhood had about forty two,000 personnel and revenues of about one hundred billion SEK in more than 160 international locations within carrying on with operations.

Sandvik Mining and Rock expertise Sandvik Mining and Rock technology is a company enviornment inside the Sandvik community and a world leading industry enterprise of rig and tools, carrier and technical solutions for the mining and progress industries. application areas consist of rock drilling, rock chopping, crushing and screening, loading and hauling, tunneling, quarrying and breaking and demolition. In 2018, revenue had been approximately forty three billion SEK with about 15,000 employees in continuing operations.

About IBM For more assistance about IBM capabilities gratify consult with: https://www.ibm.com/features

Contact:Jeannine Kilbride1-860-997-6277jkilbri@us.ibm.com

IBM company emblem. (PRNewsfoto/IBM)

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View traditional content material to down load multimedia:http://www.prnewswire.com/information-releases/sandvik-and-ibm-usher-in-the-fourth-industrial-revolution-to-the-mining-business-with-ibm-watson-300821186.html


IBM Db2 query Optimization the use of AI | killexams.com real Questions and Pass4sure dumps

In September 2018, IBM announced a new product, IBM Db2 AI for z/OS. This ersatz intelligence engine displays statistics access patterns from executing SQL statements, uses computer gaining lore of algorithms to resolve upon top of the line patterns and passes this suggestions to the Db2 question optimizer to subsist used by using subsequent statements.

machine gaining lore of on the IBM z Platform

In may moreover of 2018, IBM announced edition 1.2 of its laptop gaining lore of for z/OS (MLz) product. this is a hybrid zServer and cloud utility suite that ingests efficiency facts, analyzes and builds models that signify the health repute of various indicators, monitors them over time and offers actual-time scoring capabilities.

a couple of features of this product providing are geared toward helping a neighborhood of model developers and managers. for example:

  • It supports distinctive programming languages equivalent to Python, Scala and R. This makes it possible for statistics modelers and scientists to use a language with which they are universal;
  • A graphical user interface referred to as the visual model Builder publications model builders with out requiring tremendously-technical programming competencies;
  • It contains distinct dashboards for monitoring mannequin consequences and scoring services, in addition to controlling the gadget configuration.
  • This desktop learning suite become at the nascence aimed toward zServer-based mostly analytics applications. some of the first evident choices was zSystem efficiency monitoring and tuning. gadget management Facility (SMF) statistics which are immediately generated by means of the working rig provide the raw facts for rig resource consumption comparable to imperative processor utilization, I/O processing, recollection paging etc. IBM MLz can assemble and retain these records over time, and build and instruct fashions of gadget conduct, ranking those behaviors, determine patterns no longer quite simply foreseen by using humans, forward key efficiency symptoms (KPIs) and then feed the mannequin effects back into the rig to impress system configuration adjustments that may improve efficiency.

    The next step turned into to attach in force this suite to dissect Db2 efficiency facts. One answer, known as the IBM Db2 IT Operational Analytics (Db2 ITOA) retort template, applies the computer gaining lore of expertise to Db2 operational information to profit an figuring out of Db2 subsystem fitness. it could possibly dynamically construct baselines for key performance warning signs, give a dashboard of those KPIs and provides operational staff true-time perception into Db2 operations.

    whereas universal Db2 subsystem efficiency is a vital factor in universal software fitness and efficiency, IBM estimates that the DBA lead workforce spends 25% or greater of its time, " ... fighting entry path complications which trigger performance degradation and service impact.". (See Reference 1).

    AI comes to Db2

    agree with the plight of synchronous DBAs in a Db2 ambiance. In modern IT world they like to aid one or more gigantic statistics functions, cloud utility and database services, application installation and configuration, Db2 subsystem and software efficiency tuning, database definition and management, catastrophe healing planning, and more. question tuning has been in existence due to the fact that the origins of the database, and DBAs are continually tasked with this as neatly.

    The heart of query direction evaluation in Db2 is the Optimizer. It accepts SQL statements from applications, verifies authority to entry the records, studies the areas of the objects to subsist accessed and develops a list of candidate information access paths. These access paths can comprehend indexes, table scans, numerous table subsist a share of strategies and others. within the facts warehouse and massive information environments there are usually additional choices accessible. One of these is the existence of summary tables (on occasion referred to as materialized question tables) that hold pre-summarized or aggregated information, as a result permitting Db2 to evade re-aggregation processing. one more option is the starjoin entry course, ordinary within the records warehouse, the condition the order of table joins is modified for performance causes.

    The Optimizer then reviews the candidate access paths and chooses the entry direction, "with the lowest cost." imbue during this context talent a weighted summation of aid utilization including CPU, I/O, recollection and different materials. finally, the Optimizer takes the bottom cost entry path, outlets it in reminiscence (and, optionally, in the Db2 listing) and begins access direction execution.

    huge information and data warehouse operations now consist of application suites that enable the industry analyst to use a graphical interface to construct and exploit a miniature records mannequin of the data they are looking to analyze. The applications then generate SQL statements in keeping with the clients’ requests.

    The issue for the DBA

    in order to execute respectable analytics to your numerous information stores you want an outstanding realizing of the records necessities, an realizing of the analytical functions and algorithms purchasable and a excessive-efficiency facts infrastructure. sadly, the number and location of information sources is expanding (both in size and in geography), data sizes are becoming, and functions continue to proliferate in quantity and complexity. How should noiseless IT managers support this ambiance, primarily with essentially the most experienced and develope group of workers nearing retirement?

    take into account additionally that a huge share of cutting back the overall cost of possession of these methods is to congregate Db2 functions to flee quicker and greater successfully. This continually interprets into the usage of fewer CPU cycles, doing fewer I/Os and transporting less information throughout the community. for the understanding that it is regularly difficult to even determine which applications may edge from efficiency tuning, one approach is to automate the detection and correction of tuning issues. here's the condition desktop researching and ersatz intelligence can subsist used to exquisite impact.

    Db2 12 for z/OS and ersatz Intelligence

    Db2 edition 12 on z/OS makes use of the computing device gaining lore of facilities outlined above to collect and retain SQL query textual content and access direction particulars, in addition to specific efficiency-connected historic suggestions akin to CPU time used, elapsed times and outcome set sizes. This offering, described as Db2 AI for z/OS, analyzes and outlets the information in machine learning models, with the mannequin analysis effects then being scored and made attainable to the Db2 Optimizer. The subsequent time a scored SQL statement is encountered, the Optimizer can then use the mannequin scoring records as enter to its access path option algorithm.

    The outcome may noiseless subsist a discount in CPU consumption because the Optimizer makes use of mannequin scoring enter to select stronger entry paths. This then lowers CPU charges and speeds application response instances. a gigantic potential is that the usage of AI application does not require the DBA to like facts science abilities or abysmal insights into query tuning methodologies. The Optimizer now chooses the gold yardstick entry paths based no longer simplest on SQL query syntax and data distribution facts however on modelled and scored historic performance.

    This can subsist in particular captious in case you retain information in dissimilar areas. as an example, many analytical queries in opposition t huge information require concurrent entry to certain facts warehouse tables. These tables are commonly referred to as dimension tables, and they hold the information features usually used to manage subsetting and aggregation. for example, in a retail environment believe a desk known as StoreLocation that enumerates every retain and its vicinity code. Queries towards shop sales information might moreover necessity to aggregate or summarize earnings by using region; hence, the StoreLocation table could subsist used through some gigantic information queries. during this environment it is common to remove the dimension tables and copy them always to the great statistics utility. within the IBM world this condition is the IBM Db2 Analytics Accelerator (IDAA).

    Now account about SQL queries from each operational functions, statistics warehouse users and massive statistics enterprise analysts. From Db2's perspective, unseemly these queries are equal, and are forwarded to the Optimizer. however, in the case of operational queries and warehouse queries they should noiseless definitely subsist directed to entry the StoreLocation desk in the warehouse. even so, the query from the company analyst towards huge facts tables may noiseless doubtless entry the copy of the table there. This effects in a proliferations of edge entry paths, and extra labor for the Optimizer. thankfully, Db2 AI for z/OS can deliver the Optimizer the suggestions it must create sensible entry direction choices.

    how it Works

    The sequence of routine in Db2 AI for z/OS (See Reference 2) is often the following:

  • all over a bind, rebind, attach together or define operation, an SQL observation is handed to the Optimizer;
  • The Optimizer chooses the statistics access route; because the option is made, Db2 AI captures the SQL syntax, access path alternative and query efficiency facts (CPU used, and so forth.) and passes it to a "gaining lore of assignment";
  • The studying project, which will moreover subsist performed on a zIIP processor (a non-regular-aim CPU core that does not component into software licensing prices), interfaces with the computer researching application (MLz mannequin services) to store this guidance in a mannequin;
  • as the quantity of facts in every model grows, the MLz Scoring carrier (which moreover can subsist finished on a zIIP processor) analyzes the mannequin statistics and rankings the habits;
  • all the pass through the subsequent bind, rebind, prepare or explain, the Optimizer now has entry to the scoring for SQL models, and makes acceptable changes to entry course decisions.
  • There are additionally a lot of consumer interfaces that provide the administrator visibility to the status of the collected SQL remark performance records and mannequin scoring.

    abstract

    IBM's computing device gaining lore of for zOS (MLz) providing is being used to remarkable repercussion in Db2 edition 12 to enrich the performance of analytical queries in addition to operational queries and their associated applications. This requires management consideration, as you like to check that your enterprise is ready to consume these ML and AI conclusions. How will you measure the prices and advantages of using computer getting to know? Which IT support team of workers should subsist tasked to reviewing the outcome of mannequin scoring, and perhaps approving (or overriding) the effects? How will you evaluation and justify the assumptions that the application makes about access path selections?

    In other words, how well did you know your statistics, its distribution, its integrity and your present and proposed entry paths? this may check the condition the DBAs expend their time in aiding analytics and operational software efficiency.

    # # #

    Reference 1

    John Campbell, IBM Db2 exclusive EngineerFrom "IBM Db2 AI for z/OS: enlarge IBM Db2 application performance with machine learning"https://www.worldofdb2.com/hobbies/ibm-db2-ai-for-z-os-boost-ibm-db2-application-performance-with-ma

    Reference 2

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

    See unseemly articles with the aid of Lockwood Lyon


    IBM particulars Channel Plans For Netezza facts Warehouse appliances | killexams.com real Questions and Pass4sure dumps

    statistics warehouse home equipment

    The circulate will give resellers with a number sales, advertising and technical substances that IBM stated will create it less difficult to market and sell Netezza systems. IBM is additionally providing new financing alternatives to channel companions who resell the Netezza appliances, including zero-percent financing and all-around payment alternatives for purchasers.

    while Netezza largely bought its records warehouse appliances direct to purchasers, IBM has had its eye on the channel for promoting Netezza items considering the fact that it obtained the company in November for $1.7 billion. at the Netezza person conference in June IBM executives unveiled a associate recruitment exertion for Netezza and notable they await the channel to account for 50 p.c of Netezza earnings within 4 years.

    "enterprise analytics is going mainstream and IBM's purpose is to arm its partners with the remedy skills and lead to assist their clients remove abilities of this vogue," notable Arvind Krishna, widely wide-spread supervisor of IBM tips administration, in an announcement. "These [new&#ninety three; materials are geared to create it effortless for their partners to at once infuse Netezza into their industry mannequin."

    IBM has identified industry analytics as one in unseemly its strategic initiatives and has forecast that industry analytics and optimization items and functions will generate $16 billion in annual earnings for the enterprise by 2015.

    Netezza's methods are according to IBM's BladeCenter servers.

    Channel partners should subsist licensed to resell IBM items that arrive under the utility value Plus (SVP) program. Authorization requirements encompass having at the least two personnel who've passed a technical mastery exam and one who has handed a earnings mastery examination.

    Resellers who qualify for the SVP program are eligible for co-advertising funds for lead generation and different market planning assistance. IBM additionally offers partners a talents bootcamp where personnel can train on a pass to install, control and retain Netezza methods. And SVP-member resellers can carry income potentialities into IBM Innovation facilities to verify-force Netezza items.

    beginning Oct. 1 the Netezza products moreover will arrive under IBM's software expense Incentive program, which provides monetary rewards for companions who identify and develop sales alternatives, however don't always tackle product fulfillment.

    On the financing aspect companions can offer zero-% financing via IBM world Financing to credit-qualified clients for Netezza purchases. additionally purchasable is 24- and 36-month financing with alternatives that allow valued clientele hale payments to anticipated cash flows.

    And companions can rent a Netezza gadget for twenty-four months to flee inside their personal records facilities for demonstration, construction, trying out and practising purposes, IBM pointed out.

    Charlotte, N.C.-primarily based options provider and IBM ally Fuzzy Logix, which resources predictive analytics software and functions to valued clientele, "will use these elements from IBM to find international enterprise opportunities and deliver bigger expense features to their clients," said COO Mike Upchurch, in a press release.


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    Your lead to the top gigantic data certifications today | killexams.com real questions and Pass4sure dumps

    IDG

    IDG

    Data and gigantic data analytics are swiftly becoming the lifeblood of any successful business. Getting the technology privilege can subsist challenging, but building the privilege team with the privilege skills to undertake gigantic data initiatives can subsist even harder.

    Not surprisingly, that challenge is reflected in the rising require for gigantic data skills and certifications. According to research by IT research difficult Foote Partners, both noncertified advanced data analytics skills and certified gigantic data skills like gained value in recent years: with 74 advanced data analytics related skills and certifications rising in mediocre value by 6 percent in 2015, followed by 116 advanced data analytics related skills and certifications increasing 4.8 percent overall in market value in 2016. Additionally, Foote Partners research institute 123 related certified and noncertified gigantic data skills seeing a 0.3 percent gain in value in the first quarter of 2017.

    Organizations are on the hunt for data scientists and analysts with expertise in the techniques required to dissect gigantic data. They moreover necessity gigantic data systems architects to translate requirements into systems, data engineers to build data pipelines, developers who know their pass around Hadoop clusters and other technologies, and systems administrators and managers to tie everything together.

    [ Find out the hottest data and analytics trends today. | congregate ahead with the top certs for gigantic data, project management, agile, and the cloud. | congregate weekly career tips by signing up for their CIO Leader newsletter. ]

    These skills are in high require and are relatively rare. Individuals with the privilege amalgamate of suffer and skills can require high salaries. The privilege certifications can help.

    "Advanced data analytics capabilities are just too captious for staying competitive," David Foote, co-founder, chief analyst and chief research officer of Foote Partners, said in a statement released with the research. "They've expanded in popularity from a few industries to nearly every industry and market. And there is the Internet of Things, the next captious focus for data and analytics services. IDC is predicting a 30 percent CAGR over the next five years, while McKinsey is expecting IoT to like a $4 trillion to $11 trillion global economic repercussion by 2025 as businesses Look to IoT technologies to provide more insight."

    While the market value of noncertified advanced analytics skills has actually increased faster as a percentage of base salary than the value of certified gigantic data skills, according to Foote Research, Foote believes pay premiums for both noncertified and certified skills will steadily ascend over the next 12 to 24 months.

    If you're looking for a pass to congregate an edge — whether you're job hunting, angling for a promotion or just want tangible, third-party proof of your skills — gigantic data certification is a powerful option. Certifications measure your lore and skills against industry- and vendor-specific benchmarks to prove to employers that you like the privilege skillset. The number of gigantic data certs is expanding rapidly.

    Below is their lead to the most sought after gigantic data certifications to embolden you resolve which cert is privilege for you.

    If you would like to submit a gigantic data certification to this directory, gratify email us.

    Analytics: Optimizing gigantic Data Certificate

    The Analytics: Optimizing gigantic Data Certificate is an undergraduate-level program intended for business, marketing and operations managers, data analyst and professionals, pecuniary industry professionals, and diminutive industry owners. The program brings together statistics, analysis, and written and oral communications skills. It introduces students to the tools needed to dissect great datasets, covering topics including importing data into an analytics software package, exploratory graphical and data analysis, building analytics models, finding the best model to explore correlation among variables and more.

    Organization: University of Delaware

    Price: $2,895 course fee

    How to prepare: A basic background in statistics and some prior college coursework is recommended.

    Certificate in Engineering Excellence gigantic Data Analytics and Optimization (CPEE)

    Offered in Hyderabad and Bengaluru, India, the Certificate in Engineering Excellence gigantic Data Analytics and Optimization is an intensive 18-week program that consists of 10 courses (lectures and labs) for students of unseemly aspects of analytics, including working with gigantic data using Hadoop. It focuses on R and Hadoop skills, as well as statistical modeling, data analytics, machine learning, text mining and optimization. Students are evaluated on a real-world capstone project and a string of quizzes.

    Organization: International School of Engineering (INSOFE)

    Price: ₹3000 (INR) application fee and a program fee of ₹3,25,000 + 15 percent service tax.

    How to prepare: INSOFE admits students based on performance on its entrance exam and prior academic background and labor experience.

    Certification of Professional Achievement in Data Sciences

    The Certification of Professional Achievement in Data Sciences is a non-degree program intended to develop facility with foundational data science skills. The program consists of four courses: Algorithms for Data Science (CS/IEOR), Probability & Statistics (STATS), Machine Learning for Data Science (CS), and Exploratory Data Analysis and Visualization (STATS).

    Organization: Columbia University

    Price: $1,858 per credit (a minimum of 12 credits, including the four courses, are required to complete the program). In addition, there is an $85 non-refundable application fee for the on-campus program and $150 for the online program. The online program moreover includes an additional non-refundable technology fee of $395 per course.

    How to prepare: An undergraduate degree and prior quantitative and introductory to computer programming coursework are required.

    Certified Analytics Professional

    The Certified Analytics Professional (CAP) credential is a common analytics certification that certifies end-to-end understanding of the analytics process, from framing industry and analytic problems to acquiring data, methodology, model building, deployment and model lifecycle management. It requires completion of the CAP exam and adherence to the CAP Code of Ethics.

    Organization: INFORMS

    Price: $495 if you are an INFORMS member, or $695 if you're not. Team pricing is available for organizations. 

    How to prepare: A list of study courses and a string of webinars are available through registration.

    Cloudera Certified Associate (CCA) Data Analyst

    A SQL developer who earns the CCA Data Analyst certification demonstrates core analyst skills to load, transform and model Hadoop data to define relationships and extract meaningful results from the raw output. It requires passing the CCA Data Analyst Exam (CCA159), a remote-proctored set of eight to 12 performance-based, hands-on tasks on a CDH 5 cluster. Candidates like 120 minutes to implement a technical solution for each task. They must dissect the problem and arrive at an optimal approach in the time allowed.

    Organization: Cloudera

    Price: $295

    How to prepare: Cloudera recommends candidates remove the Cloudera Data Analyst Training course, which has the identical objectives as the exam.

    Cloudera Certified Associate (CCA) Spark and Hadoop Developer

    The CCA Spark and Hadoop Developer credential certifies a professional has proven their core skills to ingest, transform and process data using Apache Spark and core Cloudera enterprise tools. It requires passing the remote-proctored CCA Spark and Hadoop Developer Exam (CCA175), which consists of eight to 12 performance-based, hands-on tasks on a Cloudera Enterprise cluster. Each question requires the candidate to decipher a particular scenario. Some cases may require a appliance such as Impala or Hive, others may require coding. Candidates like 120 minutes to complete the exam.

    Organization: Cloudera

    Price: $295

    How to prepare: There are no prerequisites required, but Cloudera says the exam follows the identical objectives as the Cloudera Developer Training for Spark and Hadoop course, making it excellent preparation for the exam.

    Cloudera Certified Professional (CCP): Data Engineer

    The CCP: Data Engineer credential certifies the talent to accomplish core competencies required to ingest, transform, store and dissect data in Cloudera's CDH environment. It requires passing the remote-proctored CCP: Data Engineer Exam (DE575), a hands-on, practical exam in which each user is given five to eight customer problems each with a unique, great data set, a CDH cluster and four hours. For each problem, the candidate must implement a technical solution with a high degree of precision that meets unseemly the requirements.

    Organization: Cloudera

    Price: $400

    How to prepare: Cloudera suggests professionals seeking this certification like hands-on suffer in the domain and remove the Cloudera Developer Training for Spark and Hadoop course.

    EMC Proven Professional Data Scientist Associate (EMCDSA)

    The EMCDSA certification demonstrates an individual's talent to participate and contribute as a data science team member on gigantic data projects. It includes deploying the data analytics lifecycle, reframing a industry challenge as an analytics challenge, applying analytic techniques and tools to dissect gigantic data and create statistical models, selecting the arrogate data visualizations and more.

    Organization: Dell EMC Education Services

    Price: $600 for video-ILT streaming; $5,000 for instructor-led

    How to prepare: EMC offers a training course, available as either a video or an instructor-led course.

    IBM Certified Data Architect – gigantic Data

    Designed for data architects, the IBM Certified Data Architect – gigantic Data certification requires passing a test that consists of five sections containing a total of 55 multiple-choice questions. It demonstrates a data architect can labor closely with customers and solutions architects to translate customers' industry requirements into a gigantic data solution.

    Organization: IBM Professional Certification Program

    Price: $200

    How to prepare: IBM recommends a string of seven multi-day courses on SPSS Modeler to InfoSphere BigInsights to prepare for the test.

    IBM Certified Data Engineer – gigantic Data

    The IBM Certified Data Engineer – gigantic Data certification is intended for gigantic data engineers, who labor directly with data architects and hands-on developers to transfigure an architect's gigantic data vision into reality. Data engineers understand how to apply technologies to decipher gigantic data problems and like the talent to build large-scale data processing systems for the enterprise. They develop, maintain, test and evaluate gigantic data solutions within organizations, providing architects with input on needed hardware and software. This certification requires passing a test that consists of five sections containing a total of 53 multiple-choice questions.

    Organization: IBM Professional Certification Program

    Price: $200

    How to prepare: IBM recommends a string of nine multi-day courses to prepare for the test.

    Mining Massive Data Sets Graduate Certificate

    Designed for software engineers, statisticians, predictive modelers, market researchers, analytics professionals, and data miners, the Mining Massive Data Sets Graduate Certificate requires four courses and demonstrates mastery of efficient, powerful techniques and algorithms for extracting information from great datasets like the Web, convivial network graphs and great document repositories. The certificate usually takes one to two years to complete.

    Organization: Stanford center for Professional Development

    Price: $18,000 tuition

    How to prepare: A Bachelor's degree with an undergraduate GPA of 3.0 or better is required. Applicants should like lore of basic computer science principles and skills, at a flat enough to write a reasonably non-trivial computer program.

    MongoDB Certified DBA Associate

    The MongoDB Certified DBA Associate credential is intended to demonstrate that operations professionals understand the concepts and mechanics required to administrate MongoDB. It requires a 90 minute, multiple choice exam.

    Organization: MongoDB University

    Price: $150

    How to prepare: There are no prerequisites, but MongoDB suggests candidates complete an in-person training or one of its online courses (M102: MongoDB for DBAs; M202: MongoDB Advanced Deployment Operations). MongoDB moreover provides the MongoDB Certification Exam Study Guide, available to those who like registered for a certification exam.

    MongoDB Certified Developer Associate

    The MongoDB Certified Developer Associate credential is intended for software engineers who want to demonstrate a solid understanding of the fundamentals of designing and building applications using MongoDB. It requires a 90 minute, multiple choice exam.

    Organization: MongoDB University

    Price: $150

    How to prepare: There are no prerequisites, but MongoDB suggests candidates complete an in-person training or one of its online courses (M101J: MongoDB for Java Developers; M101JS: MongoDB for Node.js Developers; M101N: MongoDB for .NET Developers; M101P: MongoDB for Developers). MongoDB moreover provides the MongoDB Certification Exam Study Guide, available to those who like registered for a certification exam.

    SAS Certified gigantic Data Professional

    The SAS Certified gigantic Data Professional certification program is for individuals seeking to build on their basic programming lore by learning how to congregate and dissect gigantic data in SAS. The program focuses on SAS programming skills; accessing, transforming and manipulating data; improving data trait for reporting and analytics; fundamentals of statistics and analytics; working with Hadoop, Hive, Pig and SAS; and exploring and visualizing data. The program includes two certification exams, both of which the participants must pass.

    Organization: SAS Academy for Data Science

    Price: $9,000 for classroom (Cary, NC), $4,725 for blended learning (combination of 24/7 online access and instructor-led training)

    How to prepare: At least six months of programming suffer in SAS or another programming language is required to enroll.

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    Mainframe Services from CA Technologies | killexams.com real questions and Pass4sure dumps

    Implementation Services

    When it is time to upgrade to the latest release or implement a new solution, you want to minimize operational risk, congregate your mainframe team productive quickly and demonstrate a tough ROI. Their experts on CA Chorus™ Software Manager, the CA mainframe solution stack and underlying mainframe technologies can deliver prescriptive approaches built from thousands of site engagements and decades of experience.

    Whether you are primarily focused on schedule, the scope of labor or cost, CA Services can assist to strategy for, design, implement and verify a successful transition to the latest advances in mainframe management from CA Technologies.

    CA Services for mainframe will labor with you to select or create the optimal approach for your specific situation.

    An famous first step is to gain a circumstantial understanding of your organization’s requirements. Deployment Playbooks from CA Services embolden expedite implementations with proven, pre-built content. They comprehend comprehensive questionnaires—spanning industry drivers, functional requirements, governance initiatives, use cases, reliability and security concerns, operating constraints and more.

    Gathering this captious information at the outset of a project helps ensure that subsequent phases deliver results that align with your industry needs. Solution flee Books from CA Services provides customized instructions covering unseemly aspects of your installation, including start-up and shutdown procedures, backup requirements, risk mitigation, security controls, tuning information and troubleshooting guides.

    Conversion Services

    CA Conversion Service is a full-suite, cloud-based service based on 30-plus years of CA best practices that cover the entire migration lifecycle, involving the replacement and migration of competitive tools to CA’s industry leading capabilities. Available in three service tiers—full service, assisted and self-service—the offering spans beyond typical conversion to comprehend five phases: requirements, data preparation, planning and design, conversion and build, test and validation, and finally, rollout.

    Often, the biggest factor in undertaking a full migration isn’t money; it’s time. With the cloud-based CA Conversion Service, organizations can not only reduce the upfront migration costs, but moreover more seamlessly and quickly realize the annual cost savings of the replacement solution. Plus, there are additional intangible benefits—such as working with a single, focused vendor like CA to eliminate the exertion and administrative affliction of working with multiple providers. CA Conversion Service delivers a consistent migration suffer across departments, geographies and applications to embolden you realize swiftly time to value, reduced risk and increased rate of success.

    M3A Services

    Maintaining and operating the mainframe platform while developing talent and resources within your team is a requirement, not a luxury—you necessity to subsist planning for the changing workforce. M3A Services can embolden fill that skills gap and strengthen your lore base with self-possession and predictability.

    CA mainframe experts deliver operational, administrative, progress and implementation expertise to retain your mission-critical mainframe tools up and running. With a customer rendezvous framework that simplifies budgeting, reduces risk and drives innovation and improvement, their skilled resources can deliver a wide purview of services beyond typical incident management and administration. Their experts moreover provide education and training for your staff to embolden develop and mentor the next generation of mainframers. M3A Services for implemented CA products provide:

    Measure – Establish a performance baseline that is used to measure and track production environments

    Monitor – Deliver daily monitoring activities within the production environment of your CA Mainframe solution

    Manage – Provide day-to-day administration and operational tasks and system functions of your CA Mainframe solution to ensure expected performance levels are maintained

    Alert – Deliver assistance with events requiring immediate technical attention that provides integration of CA support and Services

    M3A Services are available for most mainframe products including:

  • CA IDMS™
  • CA Datacom®
  • CA Top Secret®
  • CA ACF2™
  • CA Endevor® Software Change Manager
  • CA Workload Automation
  • CA SYSVIEW® Performance Management
  • CA View®/CA Deliver™
  • CA OPS/MVS® Event Management and Automation
  • -IBM Core products; z/OS®, CICS®, Db2®, RACF®, IMS™ and others
  • Product and Solution Healthchecks

    CA Services professionals review your current product and solution configurations and interview IT staff to assess targets versus actual results for implementations, product usage, roll-out procedures, use cases and configuration options. Healthchecks provide documented technical findings and a prioritized strategy for improving your current CA Technologies product and solution implementations.

    Product and solution healthchecks comprehend green-, yellow-, and red-level actionable analysis and is delivered to address identified execution or performance gaps.

    Core System Consulting Program for IBM z Systems®

    Your mainframe infrastructure is an integral share of your overall IT ecosystem. For large, complex enterprises, the mainframe can act as a fulcrum where mainframe management efficiencies and cost savings ripple through everything downstream in IT that is directly—or even loosely—coupled to your mainframe platform.

    At the identical time, accumulated layers of software from scores of vendors, redundant functionality, unnecessarily high licensing costs and missed opportunities for integration and automation can undermine the value of your mainframe infrastructure.

    Core System Consulting Program Services from CA Technologies helps address these challenges so the value of your mainframe infrastructure can profit your broader IT infrastructure as you compete and grow in the application economy.

    These services embolden you leverage your existing mainframe investments, assess ways to improve efficiencies and uncover opportunities for additional integration and automation within your mainframe portfolio and with other computing platforms.

    What sets CA Technologies apart from other mainframe vendors is their breadth of mainframe expertise, proven solutions that span IT silos and computing platforms, from mainframe to mobile, and their commitment to your mainframe management success through better utilization of software.

    CA Services offers a proven, collaborative methodology to evaluate the current condition of your full mainframe software portfolio, account scenarios of a preferred future condition and then assess the associated financial, operational and strategic benefits to achieving your desired results.

    These services offer a comprehensive program that, with sponsorship from client executives and best practices from CA Services, delivers measurable, long-term results. 

    Staff Augmentation Services

    Staff augmentation services extend the staffing levels of your mainframe team with experienced resources from CA Services. Staff augmentation engagements may subsist of any duration and subsist used for clearly defined, fixed-scope projects or for more open-ended contracts that span multiple years or multiple CA solutions. With staff augmentation from CA Technologies, organizations facing reductions in mainframe staff and expertise—or anticipating needs for dedicated mainframe skills on scheduled projects—can offset internal risks and direct labor costs by working with a trusted mainframe partner.

    Assessment Services

    With budgets, time and staff resources in short supply and with execution so critical, tough execution and prioritization is more necessary than ever. Assessment services from CA Technologies will embolden you accurately evaluate your current condition and ascertain trade-offs, document considerations and prioritize opportunities for achieving a desired future state.

    CA Services offers assessments for a wide purview of situations. A few examples include:

  • Best practices and product-usage assessments
  • Configuration/optimization assessments
  • Migration planning (across product versions or from one vendor to CA)
  • Performance assessments
  • Security, compliance and auditing assessments
  • Software rationalization and consolidation assessments
  • Mainframe Value Program

    On-site service engagements provide product usage reviews of your deployed mainframe technologies from CA Technologies. In-depth assessments evaluate results in areas such as alignment to industry goals, performance, reliability and maintainability. CA Services delivers a comprehensive report with recommendations to execute more with your mainframe solutions from CA Technologies.

    Optimization Services

    Given the volume of labor conducted by your mainframe, even incremental gains to optimize performance, reduce CPU consumption and streamline processes can pay enormous dividends. The challenge is that the great volume of labor combined with the complex systems, databases, applications and networks involved means that your staff may lack the time and/or expertise needed to compass and maintain a more optimal state.

    With over 40 years of inheritance and experience, CA knows the mainframe. Optimization services from CA Technologies can embolden you:

  • Discover low-effort, incremental changes that deliver huge gains in performance
  • Objectively evaluate your product usage and alignment to best practices
  • Correct erroneous or outdated configuration settings
  • Implement cross-solution integration and automation that has not been fully deployed or has been overlooked
  • Perform fitful top-to-bottom healthchecks that deliver meaningful results

  • Session descriptions and details - SWPC2012 | killexams.com real questions and Pass4sure dumps

    Multithreading and multiprocessing

    Thursday and Friday, April 19-20, 2012 - @Sterre building S9 : April 19 lecture scope V1 (first floor) - April 20 Lecture scope V3 (third floor).

    Georg Hager and Jan Treibig (HPC services, Erlangen Regional Computing Center, Germany)

    Chairs: Kenneth Hoste, Stijn De Weirdt

    This course gives an introduction to shared-memory parallel programming and optimization on modern multicore systems. The main focus is on OpenMP, which is the preponderant shared-memory programming model in computational science, but alternative approaches are moreover discussed.

    After an introduction to parallelism and multicore architecture and to the most famous shared-memory programming models they give a solid account of OpenMP and its use in multicore-based systems. Then they picture the preponderant performance issues in shared-memory programming, like synchronization overhead, ccNUMA locality, and bandwidth saturation (in cache and memory) in order to pinpoint the influence of system topology and thread affinity on the performance of typical parallel programming constructs. Multiple ways of probing system topology and establishing affinity, either by express coding or divide tools, are demonstrated. The basic use of hardware counter measurements for performance analysis is discussed. Finally they elaborate on programming techniques that embolden establish optimal parallel recollection access patterns and/or cache reuse, with an accent on leveraging shared caches for improving performance. Hands-on exercises allow the students to apply the concepts privilege away.

    Georg Hager holds a PhD in computational physics from the University of Greifswald. He has been working with high performance systems since 1995, and is now a senior research scientist in the HPC group at Erlangen Regional Computing center (RRZE). Recent research includes architecture-specific optimization for current microprocessors, performance modeling on processor and system levels, and the efficient use of hybrid parallel systems. note his blog at http://blogs.fau.de/hager for current activities, publications, and talks.

    Jan Treibig is a chemical engineer with a special focus on computational fluid dynamics and technical thermodynamics. He holds a PhD in computer science from the University of Erlangen-Nuremberg, and has worked for two years in the embedded automotive software industry as software developer, test engineer and trait manager. Since 2008 he is a postdoctoral researcher in the HPC group at Erlangen Regional Computing center Erlangen (RRZE). His research activities revolve around low-level and architecture-specific optimization and performance modeling. He is moreover the author of the LIKWID appliance suite, a set of command line tools created to support developers of high-performance multithreaded codes.

    Prior knowledge: UNIX/Linux skills are required, since they will subsist working with Linux systems in the hands-on sessions. Students should moreover like some programming suffer with one of the preponderant HPC languages: C, C++, or Fortran.

    Recommended reading:

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    GPGPU: considerations for parallelizing code with CUDA

    Friday April 27, 2012 - @Het Pand - Zaal Oude Infirmerie

    Carsten Griwodz (University of Oslo, Norway)

    Chairs: Ruben De Visscher, Peter Dawyndt

    The steadily increasing require for computing power in unseemly sectors is today addressed by multi-core chips, to the extent that even mobile phones can now subsist considered multi-core computers. Along the way, a particular kind of support hardware, the graphics processing unit, has attracted programmers' attention because it provides processing power that exceeds that of the CPUs and is available at relatively low cost. When used effectively, existing GPUs can contribute several times the processing power of a CPU to the processing of resource-demanding workloads. Using them effectively, however, is a bigger challenge than using CPUs. Designed for computing and rendering the pixels of complex visual scenes as efficiently as possible, they feature wide parallel processing pipelines, with very limited means for data exchange and synchronization between threads and I/O with other units. Their architectural specialization combined with their high raw computing power require that programmers account how to combine them with the available CPU resources and to create divide algorithmic choices for both, CPU and GPU. This course is meant to provide an insight into the challenges and potential of GPU programming using the CUDA programming framework for NVidia graphics cards as an example.

    Carsten Griwodz is the department leader at the Simula Research Laboratory and a Professor at the Department of Informatics at the University of Oslo, Norway. He is interested in issues of scalability for multimedia applications. His main research interest is the improvement of mechanisms and algorithms for media servers, interactive distributed multimedia and distribution systems. From 1993 to 1997, he worked at the IBM European Networking center in Heidelberg, Germany. In 1997, he joined the Multimedia Communications Lab at Darmstadt University of Technology, Germany, where he received his PhD degree (Dr.-Ing.) in 2000. More information and publication list can subsist institute at http://home.ifi.uio.no/~griff .

    Prior knowledge: common background in informatics, basic lore in computer architecture, basic programming skills in C or C++ and working with the command line.

    Recommended reading

  • Van Amsesfoort, S., Varbanescu, A.L., Sips, H.J. and van Nieuwpoort, R.V.: Evaluating multi-core platforms for hpc data-intensive kernels, ACM Computing Frontiers, 2009.
  • Stensland, H.K., Espeland, H., Griwodz, C. and Halvorsen, P.: Tips, tricks and troubles: Optimizing for Cell and GPU, ACM NOSSDAV, 2010.
  • Brodtkorb, A.R., Dyken, C., Hagen, T.R., Hjelmervik, J.M. and Storaasli, O.O.: State-of-the-art in heterogeneous computing. Scientific Programming (IOS Press), 2010.
  • Ian Foster: Designing and building Parallel Programs: Concepts and Tools for Parallel Software Engineering, Addison-Wesley, 1995.
  • Hill, M.D., Marty, M.R.: Amdahl's Law in the Multicore Era, IEEE Computer, 2008.
  • NVidia: NVidia CUDA C Programming lead 4.0, 2011.
  • NVidia: NVidia CUDA C Programming Best Practices lead 4.0, 2011.
  • NVidia: NVidia CUDA API Reference Manual 4.0, 2011.
  • NVidia: Computer Visual Profiler User lead 4.0, 2011.
  • Info on how to subscribe.

    Message Passing Interface

    Friday May 4, 2012 - @Het Pand - Prior zaal

    Jan Fostier (Ghent University, Belgium)

    Chairs: Tom Kuppens, Michael Vyverman

    The Message Passing Interface (MPI) is a standardized library specification for message passing between different processes. In layman's terms: MPI provides mechanisms for handling the data communication in a parallel program. It is particularly suited for computational clusters, where the workstations are connected by an interconnection network (e.g. Infiniband, Gigabit Ethernet).In this lecture, the applicability of MPI will subsist compared to other parallel programming paradigms such as OpenMP, Cuda and MapReduce. Next, the basic principles of MPI will subsist gradually introduced (Point-to-point communication, collective communication, MPI datatypes, etc). Hands-on exercises allow the participants to immediately eddy the newly acquired skills into practice, using the UGent Stevin supercomputer infrastructure. Finally, some more hypothetical considerations regarding scalability of algorithms are presented.

    Jan Fostier received his MS and PhD degree in physical engineering from Ghent University in 2005 and 2009 respectively. Currently, he is appointed aide professor in the department of Information Technology (INTEC) at the identical university. His main research interests are (parallel) algorithms for biological sciences, high performance computing and computational electromagnetics.

    Prior knowledge: Basic lore of C / C++ or Fortran is required. No prior lore of parallel computing is required. Every participant requires an account for the UGent HPC infrastructure.

    Recommended reading

    Info on how to subscribe.

    MapReduce and Hadoop

    Friday May 11, 2012 - @Het Pand - Prior zaal

    Robin Aly (University of Twente, the Netherlands)

    Chairs: Jan Fostier, Bart Mesuere

    This course provides a amalgamate of theory and hands-on to manage gigantic Data as it is done in the data centers of great search engines. In contrast to existing grid computing and supercomputing paradigms, which both employ specialized and expensive hardware, search engines use great numbers of commodity computers. This course teaches how to carry out large-scale distributed data analysis using the programming paradigm MapReduce. This paradigm is inspired by the functions 'map' and 'reduce' as institute in functional programming language such as Lisp. Students will learn to specify algorithms using map and reduce steps and to implement these algorithms in Java using Hadoop, an open source implementation for analysis tasks. The course will moreover interject the language Pig Latin which can subsist used to specify MapReduce tasks in a declarative way. Finally, if time permits, the course will feel the NoSQL database HBase which allows structured storage of data suitable for random access.

    Robin Aly is a Post-Doc at the University of Twente in the Netherlands, where he received his PhD in Content Based Multimedia Retrieval. He has a tough background in data management and distributed data processing using innovative programming paradigms in the Hadoop framework. He teaches this framework in master courses. He co-organized the Dutch-Belgian Information Retrieval workshop 2009 and participated in the program committee of several international conferences.

    Prior knowledge: Intermediate programming skills in Java (to succeed the hands-on sessions), basic lore in file systems, functional programming is a plus.

    Recommended reading

  • Ghemawat, S., Gobioff, H. and Leung, S.: The Google file system, In ACM SIGOPS Operating Systems Review, 2003, 37, 29-43.
  • Dean, J. and Ghemawat, S.: MapReduce: simplified data processing on great clusters. Commun. ACM, ACM, 2008, 51, 107-113.
  • Jimmy Lin and Chris Dyer: Data-Intensive Text Processing with MapReduce.
  • Olston, C., Reed, B., Srivastava, U., Kumar, R. and Tomkins, A.: Pig Latin: a not-so-foreign language for data processing. In Proceedings of the 2008 ACM SIGMOD international conference on Management of data, ACM, 2008, 1099-1110.
  • Tom White: Hadoop: The Definitive Guide. O’Reilly Media, 2009.
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