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C2090-552 IBM InfoSphere Optim for Distributed Systems - V7.3.1

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C2090-552 exam Dumps Source : IBM InfoSphere Optim for Distributed Systems - V7.3.1

Test Code : C2090-552
Test appellation : IBM InfoSphere Optim for Distributed Systems - V7.3.1
Vendor appellation : IBM
: 129 real Questions

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IBM IBM InfoSphere Optim for

IBM facts Studio | killexams.com real Questions and Pass4sure dumps

This chapter is from the booklet 

IBM data Studio is protected in every DB2 version. IBM statistics Studio gives a lone integrated atmosphere for database administration and utility development. you could effect initiatives that are related to database modeling and design, developing database functions, administering and managing databases, tuning SQL efficiency, and monitoring databases multi functional lone tool. it's a bizarre utensil that may tremendously improvement a crew environment with diverse roles and duties.

IBM facts Studio is available in three favors: plenary customer, administration customer, and web console.

the entire client contains both the database administrative and the application structure capabilities. The structure environment is Eclipse-based. This presents a collaborative structure environment via integrating with different superior Eclipse-primarily based tools reminiscent of InfoSphere facts Architect and InfoSphere Optim pureQuery Runtime. note that one of the most superior InfoSphere tackle are only included in the DB2 superior variants and the DB2 Developer edition. you can besides one by one buy the superior tools.

The administration client is a subset of the total client. It noiseless gives a wide array of database administrative functionality reminiscent of DB2 example administration, expostulate management, statistics administration, and query tuning. primary utility construction projects akin to SQL Builder, query formatting, visible clarify, debugging, modifying, and running DB2 routines are supported. employ the plenary client for superior software progress elements.

The net console, as the appellation implies, it is an internet-primarily based browser interface that offers health monitoring, job management, and connection administration.

IBM records Studio Workspace and the project Launcher

if you possess successfully installed the IBM data Studio, you are requested to deliver a workspace name. A workspace is a folder that saves your work and projects. It refers back to the computer progress environment, which is an Eclipse-primarily based thought.

assignment Launcher is displayed, which highlights right here class of initiatives:

  • Design
  • enhance
  • Administer
  • Tune
  • computer screen
  • each class is described in additional aspect in its own tab. click any tab, and besides you behold the significant thing and primary initiatives listed in the box on the left. behold design 4.26 to come by a concept on the way to navigate the assignment Launcher.

    for instance, the design shows you the forward tasks. that you would be able to find the key progress tasks on the left. On the convincing right, it lists extra initiatives involving building. On the bottom right, IBM records Studio provides a number of documentation hyperlinks the situation which you could study extra about construction. the situation appropriate, it besides suggests the superior tackle accessible within the InfoSphere Optim portfolio that apply to the project you possess got chosen.

    Connection Profiles

    each project you had been to operate in opposition t a database requires to first establish a database connection. To hook up with a database from IBM information Studio, open the Database Administration perspective. On the exact right corner, click the Open viewpoint icon and select Database Administration.

    On the Administration Explorer, right-click the white house or beneath the brand unique menu, opt for unique Connection to a database. From the brand unique Connection window, you behold that you can employ the IBM statistics Studio to connect to diverse IBM facts sources, in addition to non-IBM information sources. elect the database manager and enter the censorious connection parameters. design 4.28 indicates an illustration.

    Figure 4.27

    figure four.27 Open the Database Administration point of view

    Pull down the JDBC driver drop-down menu, and you'll select the type of JDBC driver to effect employ of. JDBC type 4 driver is used by using default.

    Use the verify Connection button to ensure the connection assistance you enter is legitimate. click finish.

    At this aspect, you possess created a connection profile. Connection profiles contain tips about the way to hook up with a database similar to indicating the category of authentication to be used when connecting the database, specifying default schema, and configuring tracing alternate options. other crew individuals can import the connection profiles to their own IBM statistics Studio and be able to installation a group of consistent connection settings.

    To update the connection profile, appropriate-click on the database and elect residences. houses for the database are displayed as proven in design four.29.

    general Database Administration equipment

    There are few other useful administration projects purchasable in the menu illustrated in determine four.29.

    The control Connection feature enables you to rename the connection profile, delete the connection profile, trade the user identification and password, and reproduction the profile. The returned Up and repair characteristic allows you to setup a database or table district backups. within the acceptable editor, that you would be able to specify the classification of backup, region of the backup images, and performance options for the backup. Database backup and restoration is mentioned in Chapter 10, “maintaining, Backing Up, and recovering facts.”

    The install and Configure characteristic permits you to configure the database. Database configuration and this IBM information Studio function are covered in aspect in Chapter 5. note from the menu, which you can launch the Configure computerized protection editor. DB2 offers automated maintenance capabilities for performing database backups, reorganizing tables and indexes, and updating the database information as vital. The editor allows you customise the automatic renovation policy (see determine four.30).

    Figure 4.30

    determine 4.30 opt for the automatic protection policy alternate options

    The control Database function allows you to dawn and stop the database. In DB2, that skill activating and deactivating the database. Activating a database allocates every lone the imperative database remembrance and features or techniques required. Deactivating a database releases the remembrance and prevents DB2 features and processes.

    The video panoply characteristic launches the IBM facts Studio internet Console. consult with the part, “IBM statistics Studio internet Console,” for introduction of the tool.

    The Generate DDL function makes employ of the DB2 command-primarily based utensil db2look to extract the records Definition Language (DDL) statements for the recognized database objects or the entire database. This feature and power near effortless if you want to mimic a database, a collection of database objects, or the database data to another database. as a result of the Generate DDL function in IBM records Studio or the DB2 command db2look, you acquire a DDL script. The script carries statements to re-create the database objects you've got chosen. behold determine four.31 for a reference of the styles of statements that you would be able to generate using the IBM information Studio.

    Figure 4.31

    determine 4.31 Generate DDL characteristic within the IBM facts Studio

    For finished options for the DB2 command db2look, dispute with the DB2 information middle.

    The start Tuning characteristic configures the database to enable query tuning. You might obtain a warning indicating that you should activate the InfoSphere Optim question Workload Tuner (OQWT) license for superior tuning capacity. celebrate that IBM DB2 advanced enterprise Server version comes with OQWT. comply with the directions to celebrate the product license or click on yes to configure the database server for tuning with the aspects complementary within the IBM records Studio.

    When the database is configured to effect employ of the tuning advisors and tools, you are presented with the query Tuner Workflow Assistant, as shown in determine four.32.

    From the question Tuner Workflow Assistant, you can attain a statement from numerous sources and tune the commentary. within the tangle view, it offers you a list of sources where that you can capture the statements. design 4.33 indicates an instance on capturing the SQL statements from the kit Cache. This example captures over a hundred statements. appropriate-click on the statement through which you possess an interest and select demonstrate SQL statement or Run Single-question Advisors and tools on the chosen observation.

    Run the question advisors and tools on the selected remark. you can now enter the Invoke view. The device collects suggestions and facts and generates an information entry device (see determine 4.34).

    When the question tuning activities are finished, you are brought to the evaluation view. It presents you the evaluation effects and an consultant recommendation, such as the one shown in design four.35. The utensil documentation recommends gathering and re-accumulating every lone of crucial facts of the question.

    you could besides review the access device graph generated by the DB2 clarify function (see determine 4.36 for an example). be alert to store the analysis for future references and evaluate them if necessary.

    The control Privileges function means that you can supply database privileges to the users. dispute with Chapter 8, “implementing security,” for particulars about privileges and database entry controls.

    ordinary Database construction tools

    IBM records Studio consolidates the database administration and database progress capabilities. From the assignment Launcher – increase, you locate a list of key construction projects corresponding to developing and working SQL statements, debugging saved methods, and consumer-defined capabilities (UDFs). each and every project brings you to a device that helps you accomplish it.

    SQL and XQuery Editor

    The SQL and XQuery editor helps you create and Run SQL scripts that contain more than one SQL and XQuery statements. To launch the editor, open the facts mission Explorer; below SQL Scripts elect unique > SQL or XQuery Script. As shown in design four.37, a sample SQL script is entered. that you could configure the Run alternatives for the script.

    The editor codecs the SQL statements properly and provides syntax highlights for less demanding studying as you enter the SQL statements. The functionality content aid is besides very effective. It lists every lone of the current schemas within the database so for you to simply opt for one from the drop-down menu. The editor besides parses the commentary and validates the observation syntax. you can validate the syntax in scripts with distinctive database parsers and Run scripts towards diverse database connections.

    SQL query Builder

    The SQL query Builder allows for you to create a lone SQL observation, but it doesn't uphold XQuery. because the appellation implies, the device helps you build an SQL statement. It helps you appear to be on the underlying database schema or construct an expression, as proven in determine four.38.

    Database Routines Editor and Debugger

    kept processes and user-described services (UDFs) are database software objects that encapsulate utility common sense at the database server rather than in software-stage code. employ of application objects uphold in the reduction of overhead of SQL statements and the consequences that are handed during the community. kept strategies and UDFs are besides known as routines. IBM facts Studio helps routines progress and debugging.

    From the facts project Explorer, create a unique statistics construction challenge. within the project, that you can create quite a lot of styles of database utility objects similar to saved procedures and UDFs (see design 4.39). To debug a routine, correct-click the movements and elect Debug.

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    IBM focuses on recommendation Governance with unique utility, capabilities | killexams.com real Questions and Pass4sure dumps

    IBM final week introduced two unique items aimed at assisting companies ensure that guidelines and policies related to entry to counsel are enforced. each items, Optim statistics Redaction and IBM InfoSphere enterprise assistance computer screen, will develop into available in March. InfoSphere most effective will spin into attainable to a elect neighborhood of customers. IBM additionally introduced unique features and a unique core of Excellence dedicated to information governance.

    New regulations, such because the lately bolstered HIPAA and the hi-Tech Act, are inserting more advantageous restraints on how groups–specially organizations within the healthcare enterprise–manage dainty facts. IBM has moved aggressively to fulfill these unique requirements in the course of the construction of recent products, just dote the unique Optim and InfoSphere tools, and acquisitions, equivalent to final week’s announced acquisition of initiate, a developer of information integrity utility for companies within the healthcare and executive industries.

    Optim records Redaction is the latest product to be share of the Optim family unit of equipment, which IBM bought via its 2007 acquisition of Princeton Softech. The application is designed to immediately admire and purchase away dainty content material from documents and forms. The utility could be used by using a fiscal institution, as an example, to camouflage a consumer’s credit scores in a personal loan document from an office clerk, whereas allowing it to be viewed by a personal loan officer, according to IBM.

    It’s not clear whether Optim information Redaction will work at once with DB2/400; IBM didn't disclose and details of the product are not yet accessible. If it’s dote other Optim products, such because the archiving and test administration software for JD Edwards EnterpriseOne that work with DB2/four hundred and i/OS only through “toleration support”, then it’s questionable a gadget i shop would requisite to jump during the hoops to employ it, except they possess got loads of different records to protect on Unix, windows, Linux, and mainframe methods.

    IBM observed that the upcoming InfoSphere company panoply screen product would work with every lone DB2 facts, together with, presumably, DB2/400 (which IBM formally calls DB2 for i), in addition to other principal DBMSes, enterprise intelligence systems, and ERP systems. The software is designed to alert directors when surprising breaks within the movement of statistics raise the likelihood of error establishing within the data.

    IBM gives the illustration of a medical insurance commerce that is inspecting earnings margins across different product strains and geographies. If the statistics feed from one share of the realm did not effect it into the aggregated database used for analysis, InfoSphere company computer screen would alert the administrator to the issue, and steps can be taken to fix it.

    IBM says InfoSphere company monitor is based mostly partly on expertise developed with the aid of Guardium, a database protection application enterprise that IBM obtained final fall. Guardium’s products received DB2/400 aid closing spring.

    large Blue’s international features unit additionally introduced the basis of a brand unique corporation committed to assisting customers with their information governance needs. referred to as the IBM international commerce services’ assistance Governance heart of Excellence (COE), the organization should be in a position to faucet greater than 250 IBM execs with capabilities within the design, construction, and deployment of information governance tasks.

    related reviews

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    Hadoop is a software system developed by Apache that allows a company’s data science team to process for analytical purposes large sets of data that are located on distributed servers.  The software framework is mainly used by those companies that want the capability of extracting unstructured data to help things dote commerce performance and customer relationship management.  This unstructured data is known in the industry as ample data.  Every company that conducts physical and electronic transactions has access to ample data, but it was not until recently that corporate leaders began to fully recognize ample data’s potential to aid them to forecast trends needed to help competitive advantage.  large businesses were at an handicap because they could purchase specialized hardware and hire the human resources that are needed to prepare the diverse data for analysis.  Convenient features dote surpass reporting in Hadoop allow miniature businesses to harness the power of ample data analytics as even non-technical users are able to access large data sets from inexpensive, off the shelf servers for data analysis projects.  Here are some other reasons why Hadoop is considered a leading utensil for corporate data science teams.

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    Tighten Up ample Data Security Using Third Party Tools and Add-OnsData security remains a Hot button issue for many companies, non profit organizations and government agencies.  It seems that no organization is immune to attacks by hackers who want to pinch information or debase the integrity of stored data.  As a result, many businesses are forced to pay fines or legal reparations for not adequately protecting the information entrusted to them, and other businesses flavor productivity losses.  The storage and processing of ample data by numerous companies just opens up a unique path for cyber criminals because they possess greater amounts of unsecured data to exploit.  Hadoop was not originally built with security mechanisms in place, but third party tools dote IBM InfoSphere Optim Data Masking, Cloudera Sentry and DataStax Enterprise possess incorporated authentication and data privacy features into their versions of Hadoop.  Many of these tools provide for the authentication of Hadoop processes, services and users; they besides allow for the encryption of the Hadoop file system and data access blocking.  Maintenance and customer uphold are additional benefits of purchasing these distributed, third party versions of Hadoop versus using the free, original Apache product.

    Improve ample Data Processing Through Hadoop Integration With approved IT System BrandsA august handicap of using Hadoop over other commerce intelligence software is the capability that it provides to developers and analysts to quickly extract and process large groupings of data.  The efficiency of processing is relative on many factors including the location of the data and the server platform used.  Many businesses faith Microsoft’s brand and possess outfitted their organization with the company’s servers, operating system and application software.  Although Microsoft’s products possess been known not to be compatible with competing software systems,  the computing giant has taken august strides to update their flagship MS SQL Server product so that it and its Parallel Data Warehouse utility connects with Hadoop.  Microsoft Office applications dote surpass possess besides been updated to integrate with the Apache product; this functionality allows Hadoop users to import data analysis output into a spreadsheet format.  The distributed version of Hadoop that is used by IBM’s InfoSphere BigInsights system besides allows Hadoop users to view, analyze, graph and update data from multiple sources using a web based spreadsheet; IBM’s device was to effect their version of Hadoop the preferred one for commerce users. The fact that Hadoop can be implemented on these many platforms, and the many resources available to those learning it for the first time, effect it the example product to use.

    Modify Hadoop To Extend FunctionalityAlthough the progress team for the original Apache Hadoop software positively responds to the user community with value added updates, many businesses want to customize the open source software to quickly meet their organization’s’ unique needs.  Hadoop is Java based, but developers finish not possess to be Java programming experts to effect modifications to the software framework. Database developers can employ SQL similar scripting languages dote Hive and Pig that are exclusively associated with Hadoop to add structure to data sets and import value added customizations into Hadoop.

    Author: Lindsey Patterson

    Lindsey Patterson is a freelance writer and entrepreneur who specializes in commerce technology, employee appreciation, and management. She loves music, poetry, and researching the latest trends.… View full profile ›

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    Hadoop and Data Security vein Forward | killexams.com real questions and Pass4sure dumps

    Mar 27, 2014

    Geoff Keston

    Big data has quickly become a transformative force, and it has even emerged as a consumer buzzword. Behind the scenes, much of the work is done by Hadoop. Created and maintained by which splits data across many servers, simplifying the management of large volumes. Hadoop besides assists with the processing of the data using a program called MapReduce.

    Is a Focus on Hadoop Security Overdue?

    The popularity of Hadoop has risen as swiftly as has ample data, with heavyweights such as eBay, Facebook, IBM, and Netflix using it for censorious aspects of their businesses.1 But Hadoop has vaulted to prominence faster than its security has matured.

    “It is a well-known fact that security was not a factor when Hadoop was initially developed,” says Kevin T. Smith of ample data company Novetta. “As the initial employ cases of Hadoop revolved around managing large amounts of public web data, confidentiality was not an issue. For Hadoop's initial purposes, it was always assumed that clusters would consist of cooperating, trusted machines used by trusted users in a trusted environment."2

    The requisite for better Hadoop security is widely acknowledged, and a variety of organizations from different corners of the industry are working to fix the problem. As Smith notes, there are a sweep of unique commercial products: "Cloudera Sentry, IBM InfoSphere Optim Data Masking, Intel's secure Hadoop distribution, DataStax Enterprise, DataGuise for Hadoop, Protegrity ample Data Protector for Hadoop, Revelytix Loom, Zettaset Secure Data Warehouse, and the list could fade on," he says. And there are open source efforts, including Apache's Accumulo and Knox Gateway. 

    One of the most significant third party efforts is Intel's Project Rhino, which aims to aid Hadoop better protect confidential data. According to Intel, the project's key goals are the following:

  • "Framework uphold for encryption and key management
  • "Common authorization engine for the Hadoop framework
  • "Token-based authentication and lone sign-on
  • "Granular access control in HBase
  • "Enhanced Auditing"3
  • Hadoop Presents a intricate Security Challenge

    Hadoop is not a turnkey product for launching a ample data program. Assembling the pieces requires specialized information and customized programming work. These modules, as defined by Apache itself, are

  • "Hadoop Common: The common utilities that uphold the other Hadoop modules.
  • "Hadoop Distributed File System (HDFS): A distributed file system that provides high-throughput access to application data.
  • "Hadoop YARN: A framework for job scheduling and cluster resource management.
  • "Hadoop MapReduce: A YARN-based system for parallel processing of large data sets."4
  • But these modules are only share of Hadoop's "ecosystem," to borrow a term from Novetta’s Smith. Apache itself offers other tools that supplement Hadoop by providing needed capabilities. These tools include colorfully named software like Hive, Pig, and ZooKeeper. And third parties such as IBM, Microsoft, Oracle, and SAP are further expanding this ecosystem, notes Tony Baer, a ample data analyst at Ovum.

    The complexity and constantly changing nature of Hadoop's ecosystem effect it difficult to secure.

    Approach ample Data and Hadoop Cautiously

    Even as ample data and Hadoop are delivering significant benefits to major companies, they are noiseless creating confusion. And this confusion is not just about how they work, but besides about what their benefits are. In an article titled "Security Is the Least of Hadoop's Concerns" Matt Asay summarizes the result of a Gartner webinar this way: "Hadoop's biggest roadblock may well be that people can't design out what they're putative to finish with it."5 

    The point is that until an organization makes the commerce case for it to employ ample data and Hadoop, technical questions about security can wait. Organizations can besides admiration other ways to effect the functions for which Hadoop is used. 

    Big Data Initiatives requisite Strategic Governance

    Big data primarily aims to provide commerce intelligence. It is not a tactical approach used by IT. Therefore, it is significant for executives to govern ample data programs, providing core strategic guidance. "You can't finish ample data without [information integration and governance]," says Michele Goetz, a senior analyst at Forrester Research.6 "When they looked at organizations that are embarking on ample data or plenary favor into it, their governance levels are so much more mature."

    Hadoop and other ample data technologies are extremely intricate and specialized, and making them work securely entails stitching together many pieces. An organization that wants to set up a ample data program would be judicious to come by aid -- not just for setting up Hadoop, but for every aspect of ensuring ample Data security.

    Follow Developments in Filling Hadoop Security Gaps

    The august potential of ample data is spurring the industry to quickly fill Hadoop's security gaps. To withhold pace with these developments, organizations must withhold a nearby watch on the unique tools and practices being deployed. In particular, as ample data uses an increasing amount of users' personal information, people will anticipate companies to adhere to the latest and best available standards for protecting confidentiality.

    References1 Van Manen, T. "Expert Talk: Anjul Bhambhri (IBM) on ample Data Paradigm Shifts, Hadoop and Transforming Data." Sogeti. June 2012.2 Smith, K. T. "Big Data Security: The Evolution of Hadoop's Security Model." InfoQ. August 2013.3 Intel. "Support and Contributions to the Apache Hadoop Community." Available online from: http://hadoop.intel.com/community.4 Apache. "Welcome to Apache Hadoop." March 2014.5 Asay, M. "Security Is the Least of Hadoop's Concerns." readwrite. January 2014.6 Goetz, M. "You Can't finish ample Data Without Information Integration and Governance" (video). IBM.

    About the Author

    Geoff Keston is the author of more than 250 articles that aid organizations find opportunities in commerce trends and technology. He besides works directly with clients to develop communications strategies that help processes and customer relationships. Keston has worked as a project manager for a major technology consulting and services company and is a Microsoft Certified Systems Engineer and a Certified Novell Administrator.

    This article is based on a comprehensive report published by Faulkner Information Services, a division of Information Today, Inc., that provides a wide sweep of reports in the IT, telecommunications, and security fields. For more information, visit www.faulkner.com. 

    To subscribe to the Faulkner Information Services, visit www.faulkner.com/showcase/subscription.asp.

    Copyright 2014, Faulkner Information Services. every lone rights reserved.

    Top 10 IBM Information Management Trends | killexams.com real questions and Pass4sure dumps

    Julian Stuhler shares his pick of the most significant current trends in the world of IBM Information Management. Some are completely unique and some are evolutions of existing technologies, and he's betting that every one of them will possess some sort of repercussion on data management professionals during the next 12-18 months.


    The Greek philosopher Heraclitus is credited with the maxim "Nothing endures but change". Two millennia later those words noiseless ring true, and nowhere more so than within the IT industry. Each year brings exciting unique technologies, concepts and buzzwords for us to assimilate. Here is my pick of the most significant current trends in the world of IBM Information Management. Some are completely unique and some are evolutions of existing technologies, but I'm betting that every one of them will possess some sort of repercussion on data management professionals during the next 12-18 months.

    1. vital on a Smarter Planet

    You don't possess to be an IT professional to behold that the world around us is getting smarter. Let's just purchase a celebrate at a few examples from the world of motoring: we've become used to their in-car GPS systems giving us real-time traffic updates, signs outside car parks telling us exactly how many spaces are free, and even the cars themselves being smart enough to brake individual wheels in order to control a developing skid. every lone of these effect their lives easier and safer by using real-time data to effect smart decisions.

    However, every lone of this is just the beginning: everywhere you celebrate the world is getting more "instrumented", and clever technologies are being adopted to employ the real-time data to effect things safer, quicker and greener. Smart electricity meters in homes are giving consumers the talent to monitor their energy usage in real time and effect informed decisions on how they employ it, resulting in an mediocre reduction of 10% in a recent US study. Sophisticated traffic management systems in their cities are reducing congestion and improving fuel efficiency, with an estimated reduction in journey delays of 700,000 hours in another study covering 439 cities around the world.

    All of this has some obvious implications for the volume of data their systems will possess to manage (see trend #2 below) but the IT repercussion goes a lot deeper than that. The very infrastructure that they Run their IT systems on is besides getting smarter. Virtualization technologies allow server images to be created on require as capacity increases, and just as easily torn down again when the require reduces. More extensive instrumentation and smarter analysis allows the peaks and troughs in require to be more accurately measured and predicted so that capacity can be dynamically adjusted to cope. With up to 85% of server capacity typically sitting idle on distributed platforms, the talent to virtualize and consolidate multiple physical servers can save an vast amount of power, money and valuable IT heart floor space.

    If you live in the mainframe space, virtualization is an established technology that you've been working with for many years. If not, this might be a unique way of thinking about your server environment. Either way, most of us will be managing their databases on virtual servers running on a more dynamic infrastructure in the near future.

    2. The Information Explosion

    As IT becomes ever more prevalent in nearly every aspect of their lives, the amount of data generated and stored continues to grow at an astounding rate. According to IBM, worldwide data volumes are currently doubling every two years. IDC estimates that 45GB of data currently exists for each person on the planet: that's a mind-blowing 281 billion gigabytes in total. While a mere 5 percent of that data will terminate up on enterprise data servers, it is forecast to grow at a staggering 60 percent per year, resulting in 14 exabytes of corporate data by 2011.

    Major industry trends such as the vein towards packaged ERP and CRM applications, increased regulatory and audit requirements, investment in advanced analytics and major company mergers and acquisitions are every lone contributing to this explosion of data, and the vein towards instrumenting their planet (see trend #1 above) is only going to effect things worse.

    As the custodians of the world's corporate data, they are at the acute terminate of this particular trend. We're being forced to come by more inventive with database partitioning schemes to reduce the performance and operational repercussion of increased data volumes. Archiving strategies, usually an afterthought for many unique applications, are becoming increasingly important. The vein to a 64-bit remembrance model on every lone major computing platforms allows us to design their systems to hold much more data in remembrance rather than on disk, further reducing the performance impact. As volumes continue to enlarge and unique types of data such as XML and geospatial information are integrated into their corporate data stores (see trend #5), we'll possess to come by even more inventive.

    3. Hardware Assist

    OK, so this is not a unique trend: some of the earliest desktop PCs had the option to appropriate coprocessors to precipitate up floating point arithmetic, and the mainframe has used many types of supplementary hardware over the years to boost specific functions such as sort and encryption. However, employ of special hardware is becoming ever more significant on every lone of the major computing platforms.

    In 2004, IBM introduced the zAAP (System z Application Assist Processor), a special type of processor aimed at Java workloads running under z/OS. Two years later, it introduced the zIIP (System z Integrated Information Processor) which was designed to offload specific types of data and transaction processing workloads for commerce intelligence, ERP and CRM, and network encryption. In both cases, work can be offloaded from the general-purpose processors to help overall capacity and significantly reduce running costs (as most mainframe customers pay according to how much CPU they char on their general-purpose processors). These "specialty coprocessors" possess been a censorious factor in keeping the mainframe cost-competitive with other platforms, and allow IBM to easily tweak the overall TCO proposition for the System z platform. IBM has previewed its Smart Analytics Optimizer blade for System z (see trend #9) and is about to release details of the next generation of mainframe servers: they can anticipate the theme of workload optimization through dedicated hardware to continue.

    On the distributed computing platform, things possess taken a different turn. The GPU (graphics processing unit), previously only of interest to CAD designers and hard-core gamers, is gradually establishing itself as a formidable computing platform in its own right. The capability to Run hundreds or thousands of parallel processes is proving valuable for every lone sorts of applications, and a unique movement called CPGPU (General-Purpose computation on Graphics Processing Units) is rapidly gaining ground. It is very early days, but many database operations (including joins, sorting, data visualization and spatial data access) possess already been proven and the mainframe database vendors won't be far behind.

    4. Versioned/Temporal Data

    As the major relational database technologies continue to mature, it's getting more and more difficult to distinguish between them on the basis of sheer functionality. In that kind of environment, it's a real deal when a vendor comes up with a major unique feature, which is both fundamentally unique and immediately useful. The temporal data capabilities being delivered as share of DB2 10 for z/OS qualify on both counts.

    Many IT systems requisite to withhold some profile of historical information in addition to the current status for a given commerce object. For example, a fiscal institution may requisite to retain the previous addresses of a customer as well as the one they are currently vital at, and know what address applied at any given time. Previously, this would possess required the DBA and application developers to spend valuable time creating the code and database design to uphold the historical perspective, while minimizing any performance impact.

    The unique temporal data uphold in DB2 10 for z/OS provides this functionality as share of the core database engine. every lone you requisite to finish is witness which tables/columns require temporal support, and DB2 will automatically maintain the history whenever an update is made to the data. Elegant SQL uphold allows the developer to query the database with an "as of" date, which will revert the information that was current at the specified time.

    With the ongoing focus on improving productivity and reducing time-to-market for key unique IT systems, you can anticipate other databases (both IBM and non-IBM) to implement this feature sooner rather than later.

    5. The climb of XML and Spatial Data

    Most relational databases possess been able to store "unstructured" data such as photographs and scanned images for a while now, in the profile of BLOBS (Binary large OBjects). This has proven useful in some situations, but most businesses employ specialized applications such as IBM Content Manager to exploit this information more effectively than a general-purpose database. These kind of applications typically finish not possess to effect any significant processing on the BLOB itself - they merely store and retrieve it according to externally defined index metadata.

    In contrast, there are some kinds of non-traditional data that requisite to be fully understood by the database system so that it can be integrated with structured data and queried using the plenary power of SQL. The two most powerful examples of this are XML and spatial data, supported as special data types within the latest versions of both DB2 for z/OS and DB2 for LUW.

    More and more organizations are coming to faith on some profile of XML as the primary means of data interchange, both internally between applications and externally when communicating with third-parties. As the volume of censorious XML commerce documents increases, so too does the requisite to properly store and retrieve those documents alongside other commerce information. DB2's pureXML feature allows XML documents to be stored natively in a specially designed XML data store, which sits alongside the traditional relational engine. This is not a unique feature any more, but the trend I've observed is that more organizations are dawn to actually effect employ of pureXML within their systems. The talent to offload some XML parsing work to a zAAP coprocessor (see trend #3) is certainly helping.

    Nearly every lone of their existing applications contain a wealth of spatial data (customer addresses, supplier locations, store locations, etc): the trouble is we're unable to employ it properly as it's in the profile of simple text fields. The spatial abilities within DB2 allow that data to be "geoencoded" in a sunder column, so that the plenary power of SQL can be unleashed. Want to know how many customers live within a 10-mile radius of your unique store? Or if a property you're about to insure is within a known flood unostentatious or towering crime area? every lone of this and much more is workable with simple SQL queries. Again, this is not a brand unique feature but more and more organizations are dawn to behold the potential and design applications to exploit this feature.

    6. Application Portability

    Despite the relative maturity of the relational database marketplace, there is noiseless fierce competition for overall market share between the top three vendors. IBM, Oracle and Microsoft are the main protagonists, and each company is constantly looking for unique ways to tempt their competitor's customers to defect. Those doughty souls that undertook migration projects in the past faced a difficult process, often entailing significant pains and risk to port the database and associated applications to Run on the unique platform. This made large-scale migrations relatively rare, even when there were compelling cost or functionality reasons to vein to another platform.

    Two trends are changing this and making porting projects more common. The first is the climb of the packaged ERP/CRM solution from companies such as SAP and Siebel. These applications possess been written to be largely database agnostic, with the core commerce logic isolated from the underlying database by an "I/O layer". So, while there may noiseless be obliging reasons to be on a specific vendor's database in terms of functionality or price, the stitch of pitiable from one to another is vastly reduced and the process is supported by the ERP solution vendor with additional tooling. Over 100 SAP/Oracle customers are known to possess switched to DB2 during the past 12 months for example, including huge organizations such as Coca-Cola.

    The second and more recent trend is direct uphold for competitor's database APIs. DB2 for LUW version 9.7 includes a host of unique Oracle compatibility features that makes it workable to Run the vast majority of Oracle applications natively against DB2 with miniature or no change required to the code. IBM has besides announced the "DB2 SQL Skin" feature, which provides similar capabilities for Sybase ASE applications to Run against DB2. With these features greatly reducing the cost and risk of changing the application code to work with a different database, every lone that is left is to physically port the database structures and data to the unique platform (which is a relatively straightforward process that is well supported by vendor tooling). There is a huge amount of excitement about these unique features and IBM is expecting to behold a significant number of Oracle customers switch to DB2 in the coming year. I'm expecting IBM to continue to pursue this strategy by targeting other databases such as SQL Server, and Oracle and Microsoft may well revert the favor if they inaugurate to lose significant market share as a result.

    7. Scalability and Availability

    The talent to provide unparalleled scalability and availability for DB2 databases is not new: high-end mainframe users possess been enjoying the benefits of DB2 Data Sharing and Parallel Sysplex for more than 15 years. The shared-disk architecture and advanced optimizations employed in this technology allow customers to Run mission-critical systems with 24x7 availability and no lone point of failure, with only a minimal performance penalty. Major increases in workload can be accommodated by adding additional members to the data sharing group, providing an easy way to scale.

    Two developments possess resulted in this making my top 10 trends list. Firstly, I'm seeing a significant number of mainframe customers who had not previously taken handicap of data sharing inaugurate to purchase the plunge. There are various reasons for this, but we've definitely moved away from the days when DB2 for z/OS data sharing customers were a minority group huddling together at conferences and speaking a different language to everyone else.

    The second intuition that this is set to be ample advice over the next year is DB2 pureScale: the implementation of the selfsame data sharing shared-disk concepts on the DB2 for LUW platform. It's difficult to overstate the potential repercussion this could possess on distributed DB2 customers that Run towering volume mission censorious applications. Before pureScale, those customers had to faith on features such as HADR to provide failover uphold to a sunder server (which could require many seconds to purchase over in the event of a failure) or fade to external suppliers such as Xkoto with their Gridscale solution (no longer an option since the company was acquired by Teradata and the product was removed from the market). pureScale brings DB2 for LUW into the selfsame ballpark as DB2 for z/OS in terms of scalability and availability, and I'm expecting a lot of customer activity in this district over the next year.

    8. Stack 'em high...

    For some time now, it has been workable for organizations to purchase a "pick and mix" approach to their IT infrastructure, selecting the best hardware, operating system, database and even packaged application for their needs. This allowed IT staff to concentrate on structure skills and flavor in specific vendor's products, thereby reducing uphold costs.

    Recent acquisitions possess begun to situation this environment under threat. Oracle's previous purchase of ERP vendors such as Peoplesoft, Siebel and JD Edwards had already resulted in ample pressure to employ Oracle as the back-end database for those applications (even if DB2 and other databases are noiseless officially supported). That reinforced SAP's alliance with IBM and the push to Run their applications on DB2 (again, other databases are supported but not encouraged).

    Two acquisitions during the past 12 months possess further eroded the "mix and match" approach, and started a trend towards single-vendor end-to-end solution "stacks" comprising hardware, OS, database and application. The first and most significant of these was Oracle's acquisition of Sun Microsystems in January 2010. This gave the company access to Sun's well-respected server technology and the Solaris OS that runs on it. At a lone stroke, Oracle was able to present potential customers a completely integrated hardware/software/application stack.

    The jury is noiseless out on the potential repercussion of the second acquisition: SAP's purchase of Sybase in May 2010. Although the official SAP position is that the Sybase technology has been purchased for the enhanced mobile and in-memory computing technologies that Sybase will bring, there is the possibility that SAP will elect to integrate the Sybase database technology into the SAP product. That will noiseless leave them relative on other vendors such as IBM for the hardware and operating system, but it would be a major step forward in any integration strategy they may have.

    Older readers of this article may behold some startling similarities to the obnoxious veteran days of vendor lock-in prevalent in the 1970s and 1980s. IBM's strategy to uphold other vendor's database APIs (see trend # 6) is in direct contrast to this, and it will be bright to behold how far customers are willing to fade down the lone vendor route.

    9. BI on the Mainframe

    The concept of running commerce Intelligence applications on the mainframe is not new: DB2 was originally marketed as a back-end decision uphold application for IMS databases. The talent to build a warehouse within the selfsame environment as your operational data resides (and thereby avoid the expensive and time-consuming process of pitiable that data to another platform for analysis) is attractive to many customers.

    IBM is making significant efforts to effect this an attractive proposition for more of their mainframe customers. The Cognos tools possess been available for zLinux for a pair of years now, and the DB2 for z/OS progress team possess been steadily adding BI-related functions to the core database engine for years. Significant portions of a typical BI workload can besides be offloaded to a zIIP coprocessor (see trend # 3), reducing the CPU costs.

    More recently, IBM unveiled its Smart Analytics System 9600 - an integrated, workload balanced bundle of hardware, software and services based on System z and DB2 for z/OS. It has besides begun to talk about the Smart Analytics Optimizer - a towering performance appliance-like blade for System z capable of handling intensive BI query workloads with minimal repercussion to CPU.

    IBM is grave about BI on the mainframe, and is structure an increasingly compelling cost and functionality case to uphold it.

    10. Data Governance

    Ensuring that sensitive data is properly secured and audited has always been a concern, but this has received more attention in recent years due to legislation such as Sarbanes-Oxley, HIPAA and others. At the selfsame time, there has been an increasing focus on data quality: obnoxious data can result in obnoxious commerce decisions, which no one can afford in today's competitive markets. There has besides been an increasing awareness of data as both an asset and a potential liability, making archiving and lifecycle management more important.

    All of these disciplines and more and dawn to near together under the general heading of data governance. As their database systems come by smarter and more self-managing, database professionals are increasingly morphing from data administrators to data governors. A unique generation of tools is being rolled out to help, including Infosphere Information Analyser, Guardium and the Optim data management products.

    Additional Resources

    IBM's Smarter Planet initiativeIBM's zIIP Home PageDatabase operations using the GPUDB2 10 for z/OSpureXMLDB2 9.7: Run Oracle applications on DB2 9.7 for Linux, Unix, and WindowspureScaleIBM Smart Analytics OptimizeIBM Smart Analytics System 9600IBM Data governance

    » behold every lone Articles by Columnist Julian Stuhler

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