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

Vendor : IBM
Exam Code : C2090-552
Exam Name : IBM InfoSphere Optim for Distributed Systems - V7.3.1
Questions and Answers : 129 Q & A
Updated On : April 22, 2019
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C2090-552 Questions and Answers

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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 Name : IBM InfoSphere Optim for Distributed Systems - V7.3.1
Vendor Name : IBM
Q&A : 129 Real Questions

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IBM IBM InfoSphere Optim for

IBM facts Studio | 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 single integrated atmosphere for database administration and utility development. you could perform initiatives that are related to database modeling and design, developing database functions, administering and managing databases, tuning SQL efficiency, and monitoring databases multi functional single tool. it's a fantastic tool that may tremendously improvement a crew environment with diverse roles and duties.

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

the whole client contains both the database administrative and the application building capabilities. The building environment is Eclipse-based. This presents a collaborative building 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 equipment are only included in the DB2 superior variants and the DB2 Developer edition. you can also one by one buy the superior tools.

The administration client is a subset of the total client. It still gives a wide array of database administrative functionality reminiscent of DB2 example administration, object 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. Use the full client for superior software development elements.

The net console, as the name 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 have 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 development 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 also you see the important thing and primary initiatives listed in the box on the left. See figure 4.26 to get a concept on the way to navigate the task Launcher.

    for instance, the figure shows you the advance tasks. that you would be able to find the key development tasks on the left. On the true right, it lists extra initiatives involving building. On the bottom right, IBM records Studio provides a number of documentation hyperlinks the place which you could study extra about construction. the place appropriate, it also suggests the superior equipment accessible within the InfoSphere Optim portfolio that apply to the project you have 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 new menu, opt for New Connection to a database. From the brand new Connection window, you see that you can use the IBM statistics Studio to connect to diverse IBM facts sources, in addition to non-IBM information sources. choose the database manager and enter the critical connection parameters. figure 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 make use 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 have 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 choose residences. houses for the database are displayed as proven in figure 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 area 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 beginning and stop the database. In DB2, that skill activating and deactivating the database. Activating a database allocates all the imperative database memory and features or techniques required. Deactivating a database releases the memory and prevents DB2 features and processes.

    The video display 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 use of the DB2 command-primarily based tool db2look to extract the records Definition Language (DDL) statements for the recognized database objects or the whole database. This feature and power come 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. See 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, discuss 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. observe that IBM DB2 advanced enterprise Server version comes with OQWT. comply with the directions to observe 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 make use 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 catch view, it offers you a list of sources where that you can capture the statements. figure 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 have 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 plan (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 figure four.35. The tool documentation recommends gathering and re-accumulating all of crucial facts of the question.

    you could also review the access plan graph generated by the DB2 clarify function (see determine 4.36 for an example). be aware 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. discuss 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 development 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 choose New > SQL or XQuery Script. As shown in figure 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 help is also very effective. It lists all of the current schemas within the database so for you to simply opt for one from the drop-down menu. The editor also 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 single SQL observation, but it doesn't support XQuery. because the name implies, the device helps you build an SQL statement. It helps you seem 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. Use of application objects support in the reduction of overhead of SQL statements and the consequences that are handed during the community. kept strategies and UDFs are also known as routines. IBM facts Studio helps routines development and debugging.

    From the facts project Explorer, create a new 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 figure 4.39). To debug a routine, correct-click the movements and choose Debug.

    IBM InfoSphere Optim look at various facts administration solution for SAP applications - utility Subscription and guide Renewal collection | Real Questions and Pass4sure dumps

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    IBM focuses on advice Governance with New utility, capabilities | Real Questions and Pass4sure dumps

    IBM final week introduced two new 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 turn into attainable to a choose neighborhood of customers. IBM additionally introduced new features and a new 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 delicate facts. IBM has moved aggressively to fulfill these new requirements in the course of the construction of recent products, just like the new 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 part 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 take away delicate content material from documents and forms. The utility could be used by using a financial institution, as an example, to disguise 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 say and details of the product are not yet accessible. If it’s like 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 doubtful a gadget i shop would need to jump during the hoops to use it, except they have got loads of different records to protect on Unix, windows, Linux, and mainframe methods.

    IBM observed that the upcoming InfoSphere company display screen product would work with all 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 business that is inspecting earnings margins across different product strains and geographies. If the statistics feed from one part of the realm did not make 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 new corporation committed to assisting customers with their information governance needs. referred to as the IBM international business services’ assistance Governance center 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.

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    Guardium provides DB2/400 aid to Database protection tool

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    How Hadoop Keeps Even Small Businesses In the Loop for Big Data Analytics | real questions and Pass4sure dumps

    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 improve things like business performance and customer relationship management.  This unstructured data is known in the industry as big data.  Every company that conducts physical and electronic transactions has access to big data, but it was not until recently that corporate leaders began to fully recognize big data’s potential to help them to forecast trends needed to improve competitive advantage.  Large businesses were at an advantage because they could purchase specialized hardware and hire the human resources that are needed to prepare the diverse data for analysis.  Convenient features like Excel reporting in Hadoop allow small businesses to harness the power of big 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 tool for corporate data science teams.

    Use Hadoop With Leading Storage TechnologyHadoop has leveled the playing field for companies that want to effectively use big data to optimize their business processes.  For example, many medical companies collecting genetic data for advanced personalized medicine initially lacked the storage capacity needed for effective big data analysis.  Today, businesses of varying sizes use cloud storage options to expand their storage capabilities, and one of the most popular brands is Google Cloud Storage.  The value of Hadoop is well known in the information technology industry, and Google has responded by building a custom connector that integrates Google Cloud Storage with Hadoop.  Additionally, providers of storage area network and virtualization storage options have plans to integrate their products and services with Apache’s Hadoop.

    Tighten Up Big 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 steal information or corrupt 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 experience productivity losses.  The storage and processing of big data by numerous companies just opens up a new path for cyber criminals because they have greater amounts of unsecured data to exploit.  Hadoop was not originally built with security mechanisms in place, but third party tools like IBM InfoSphere Optim Data Masking, Cloudera Sentry and DataStax Enterprise have 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 also allow for the encryption of the Hadoop file system and data access blocking.  Maintenance and customer support are additional benefits of purchasing these distributed, third party versions of Hadoop versus using the free, original Apache product.

    Improve Big Data Processing Through Hadoop Integration With Popular IT System BrandsA great advantage of using Hadoop over other business 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 dependent on many factors including the location of the data and the server platform used.  Many businesses trust Microsoft’s brand and have outfitted their organization with the company’s servers, operating system and application software.  Although Microsoft’s products have been known not to be compatible with competing software systems,  the computing giant has taken great strides to update their flagship MS SQL Server product so that it and its Parallel Data Warehouse utility connects with Hadoop.  Microsoft Office applications like Excel have also 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 also allows Hadoop users to view, analyze, graph and update data from multiple sources using a web based spreadsheet; IBM’s plan was to make their version of Hadoop the preferred one for business 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, make it the ideal product to use.

    Modify Hadoop To Extend FunctionalityAlthough the development 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 do not have to be Java programming experts to make modifications to the software framework. Database developers can use SQL similar scripting languages like 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 business 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 Move Forward | 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 also 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 fast as has big data, with heavyweights such as eBay, Facebook, IBM, and Netflix using it for critical 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 big data company Novetta. “As the initial use 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 need 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 range of new commercial products: "Cloudera Sentry, IBM InfoSphere Optim Data Masking, Intel's secure Hadoop distribution, DataStax Enterprise, DataGuise for Hadoop, Protegrity Big Data Protector for Hadoop, Revelytix Loom, Zettaset Secure Data Warehouse, and the list could go 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 help Hadoop better protect confidential data. According to Intel, the project's key goals are the following:

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

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

  • "Hadoop Common: The common utilities that support 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 part 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 big data analyst at Ovum.

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

    Approach Big Data and Hadoop Cautiously

    Even as big data and Hadoop are delivering significant benefits to major companies, they are still creating confusion. And this confusion is not just about how they work, but also 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 figure out what they're supposed to do with it."5 

    The point is that until an organization makes the business case for it to use big data and Hadoop, technical questions about security can wait. Organizations can also consider other ways to perform the functions for which Hadoop is used. 

    Big Data Initiatives Need Strategic Governance

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

    Hadoop and other big data technologies are extremely complex and specialized, and making them work securely entails stitching together many pieces. An organization that wants to set up a big data program would be wise to get help -- not just for setting up Hadoop, but for every aspect of ensuring Big Data security.

    Follow Developments in Filling Hadoop Security Gaps

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

    References1 Van Manen, T. "Expert Talk: Anjul Bhambhri (IBM) on Big 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: 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 Do Big Data Without Information Integration and Governance" (video). IBM.

    About the Author

    Geoff Keston is the author of more than 250 articles that help organizations find opportunities in business trends and technology. He also works directly with clients to develop communications strategies that improve 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 range of reports in the IT, telecommunications, and security fields. For more information, visit 

    To subscribe to the Faulkner Information Services, visit

    Copyright 2014, Faulkner Information Services. All rights reserved.

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

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


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

    1. Living on a Smarter Planet

    You don't have to be an IT professional to see that the world around us is getting smarter. Let's just take a look at a few examples from the world of motoring: we've become used to our 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. All of these make our lives easier and safer by using real-time data to make smart decisions.

    However, all of this is just the beginning: everywhere you look the world is getting more "instrumented", and clever technologies are being adopted to use the real-time data to make things safer, quicker and greener. Smart electricity meters in homes are giving consumers the ability to monitor their energy usage in real time and make informed decisions on how they use it, resulting in an average reduction of 10% in a recent US study. Sophisticated traffic management systems in our 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 our systems will have to manage (see trend #2 below) but the IT impact goes a lot deeper than that. The very infrastructure that we run our IT systems on is also getting smarter. Virtualization technologies allow server images to be created on demand as capacity increases, and just as easily torn down again when the demand reduces. More extensive instrumentation and smarter analysis allows the peaks and troughs in demand 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 ability to virtualize and consolidate multiple physical servers can save an enormous amount of power, money and valuable IT center 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 new way of thinking about your server environment. Either way, most of us will be managing our 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 our 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 end 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 move towards packaged ERP and CRM applications, increased regulatory and audit requirements, investment in advanced analytics and major company mergers and acquisitions are all contributing to this explosion of data, and the move towards instrumenting our planet (see trend #1 above) is only going to make things worse.

    As the custodians of the world's corporate data, we are at the sharp end of this particular trend. We're being forced to get more inventive with database partitioning schemes to reduce the performance and operational impact of increased data volumes. Archiving strategies, usually an afterthought for many new applications, are becoming increasingly important. The move to a 64-bit memory model on all major computing platforms allows us to design our systems to hold much more data in memory rather than on disk, further reducing the performance impact. As volumes continue to increase and new types of data such as XML and geospatial information are integrated into our corporate data stores (see trend #5), we'll have to get even more inventive.

    3. Hardware Assist

    OK, so this is not a new trend: some of the earliest desktop PCs had the option to fit coprocessors to speed 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, use of special hardware is becoming ever more important on all 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 business intelligence, ERP and CRM, and network encryption. In both cases, work can be offloaded from the general-purpose processors to improve overall capacity and significantly reduce running costs (as most mainframe customers pay according to how much CPU they burn on their general-purpose processors). These "specialty coprocessors" have been a critical 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: we can expect the theme of workload optimization through dedicated hardware to continue.

    On the distributed computing platform, things have 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 all sorts of applications, and a new 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) have 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 pure functionality. In that kind of environment, it's a real treat when a vendor comes up with a major new feature, which is both fundamentally new and immediately useful. The temporal data capabilities being delivered as part of DB2 10 for z/OS qualify on both counts.

    Many IT systems need to keep some form of historical information in addition to the current status for a given business object. For example, a financial institution may need to retain the previous addresses of a customer as well as the one they are currently living at, and know what address applied at any given time. Previously, this would have required the DBA and application developers to spend valuable time creating the code and database design to support the historical perspective, while minimizing any performance impact.

    The new temporal data support in DB2 10 for z/OS provides this functionality as part of the core database engine. All you need to do is indicate which tables/columns require temporal support, and DB2 will automatically maintain the history whenever an update is made to the data. Elegant SQL support allows the developer to query the database with an "as of" date, which will return the information that was current at the specified time.

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

    5. The Rise of XML and Spatial Data

    Most relational databases have been able to store "unstructured" data such as photographs and scanned images for a while now, in the form of BLOBS (Binary Large OBjects). This has proven useful in some situations, but most businesses use specialized applications such as IBM Content Manager to handle this information more effectively than a general-purpose database. These kind of applications typically do not have to perform 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 need to be fully understood by the database system so that it can be integrated with structured data and queried using the full 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 rely on some form of XML as the primary means of data interchange, both internally between applications and externally when communicating with third-parties. As the volume of critical XML business documents increases, so too does the need to properly store and retrieve those documents alongside other business 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 new feature any more, but the trend I've observed is that more organizations are beginning to actually make use of pureXML within their systems. The ability to offload some XML parsing work to a zAAP coprocessor (see trend #3) is certainly helping.

    Nearly all of our existing applications contain a wealth of spatial data (customer addresses, supplier locations, store locations, etc): the trouble is we're unable to use it properly as it's in the form of simple text fields. The spatial abilities within DB2 allow that data to be "geoencoded" in a separate column, so that the full power of SQL can be unleashed. Want to know how many customers live within a 10-mile radius of your new store? Or if a property you're about to insure is within a known flood plain or high crime area? All of this and much more is possible with simple SQL queries. Again, this is not a brand new feature but more and more organizations are beginning to see the potential and design applications to exploit this feature.

    6. Application Portability

    Despite the relative maturity of the relational database marketplace, there is still 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 new ways to tempt their competitor's customers to defect. Those brave souls that undertook migration projects in the past faced a difficult process, often entailing significant effort and risk to port the database and associated applications to run on the new platform. This made large-scale migrations relatively rare, even when there were compelling cost or functionality reasons to move to another platform.

    Two trends are changing this and making porting projects more common. The first is the rise of the packaged ERP/CRM solution from companies such as SAP and Siebel. These applications have been written to be largely database agnostic, with the core business logic isolated from the underlying database by an "I/O layer". So, while there may still be good reasons to be on a specific vendor's database in terms of functionality or price, the pain of moving 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 have 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 support for competitor's database APIs. DB2 for LUW version 9.7 includes a host of new Oracle compatibility features that makes it possible to run the vast majority of Oracle applications natively against DB2 with little or no change required to the code. IBM has also 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, all that is left is to physically port the database structures and data to the new platform (which is a relatively straightforward process that is well supported by vendor tooling). There is a huge amount of excitement about these new features and IBM is expecting to see 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 return the favor if they begin to lose significant market share as a result.

    7. Scalability and Availability

    The ability to provide unparalleled scalability and availability for DB2 databases is not new: high-end mainframe users have 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 single 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 have resulted in this making my top 10 trends list. Firstly, I'm seeing a significant number of mainframe customers who had not previously taken advantage of data sharing begin to take 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 reason that this is set to be big news over the next year is DB2 pureScale: the implementation of the same data sharing shared-disk concepts on the DB2 for LUW platform. It's difficult to overstate the potential impact this could have on distributed DB2 customers that run high volume mission critical applications. Before pureScale, those customers had to rely on features such as HADR to provide failover support to a separate server (which could require many seconds to take over in the event of a failure) or go 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 same ballpark as DB2 for z/OS in terms of scalability and availability, and I'm expecting a lot of customer activity in this area over the next year.

    8. Stack 'em high...

    For some time now, it has been possible for organizations to take 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 building skills and experience in specific vendor's products, thereby reducing support costs.

    Recent acquisitions have begun to put this environment under threat. Oracle's previous purchase of ERP vendors such as Peoplesoft, Siebel and JD Edwards had already resulted in big pressure to use Oracle as the back-end database for those applications (even if DB2 and other databases are still 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 have 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 single stroke, Oracle was able to offer potential customers a completely integrated hardware/software/application stack.

    The jury is still out on the potential impact 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 choose to integrate the Sybase database technology into the SAP product. That will still leave them dependent 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 see some startling similarities to the bad old days of vendor lock-in prevalent in the 1970s and 1980s. IBM's strategy to support other vendor's database APIs (see trend # 6) is in direct contrast to this, and it will be interesting to see how far customers are willing to go down the single vendor route.

    9. BI on the Mainframe

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

    IBM is making significant efforts to make this an attractive proposition for more of their mainframe customers. The Cognos tools have been available for zLinux for a couple of years now, and the DB2 for z/OS development team have been steadily adding BI-related functions to the core database engine for years. Significant portions of a typical BI workload can also 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 also begun to talk about the Smart Analytics Optimizer - a high performance appliance-like blade for System z capable of handling intensive BI query workloads with minimal impact to CPU.

    IBM is serious about BI on the mainframe, and is building an increasingly compelling cost and functionality case to support 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 same time, there has been an increasing focus on data quality: bad data can result in bad business decisions, which no one can afford in today's competitive markets. There has also 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 beginning to come together under the general heading of data governance. As our database systems get smarter and more self-managing, database professionals are increasingly morphing from data administrators to data governors. A new 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

    » See All Articles by Columnist Julian Stuhler

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