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C2090-461 exam Dumps Source : IBM InfoSphere Optim for Distributed Systems v9.1 Upgrade

Test Code : C2090-461
Test appellation : IBM InfoSphere Optim for Distributed Systems v9.1 Upgrade
Vendor appellation : IBM
: 34 true Questions

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IBM IBM InfoSphere Optim for

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

This chapter is from the e-book 

IBM data Studio is covered in every DB2 edition. IBM records Studio gives a separate built-in environment for database administration and application building. that you can operate initiatives which are concerning database modeling and design, developing database applications, administering and managing databases, tuning SQL efficiency, and monitoring databases every in one separate device. it's an ideal device that may greatly improvement a crew atmosphere with diverse roles and tasks.

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

the complete customer contains both the database administrative and the application construction capabilities. The edifice atmosphere is Eclipse-primarily based. This presents a collaborative construction atmosphere by integrating with different advanced Eclipse-based mostly outfit corresponding to InfoSphere facts Architect and InfoSphere Optim pureQuery Runtime. keep that one of the vital superior InfoSphere outfit are handiest protected within the DB2 superior editions and the DB2 Developer version. which you could also one after the other purchase the superior tools.

The administration client is a subset of the complete client. It nonetheless offers a wide sweep of database administrative performance reminiscent of DB2 instance management, protest administration, information administration, and query tuning. basic application construction tasks comparable to SQL Builder, question formatting, visible explain, debugging, modifying, and running DB2 routines are supported. consume the complete client for advanced software edifice aspects.

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

IBM records Studio Workspace and the project Launcher

when you endure correctly outcome in the IBM statistics Studio, you are requested to provide a workspace identify. A workspace is a folder that saves your drudgery and projects. It refers to the computing device edifice atmosphere, which is an Eclipse-based mostly concept.

project Launcher is displayed, which highlights perquisite here class of projects:

  • Design
  • increase
  • Administer
  • Tune
  • video display
  • every class is described in additional aspect in its own tab. click any tab, and also you remark the key and primary tasks listed within the bailiwick on the left. remark determine four.26 to derive a concept on the route to navigate the chore Launcher.

    for instance, the determine indicates you the enhance tasks. which you can locate the key progress tasks on the left. On the proper appropriate, it lists more projects regarding development. On the bottom right, IBM data Studio offers a yoke of documentation hyperlinks the site that you could be taught greater about development. the site applicable, it also suggests the advanced tools purchasable in the InfoSphere Optim portfolio that keep to the project you endure got chosen.

    Connection Profiles

    every assignment you had been to fulfill against 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 suitable appropriate corner, click the Open viewpoint icon and pick Database Administration.

    On the Administration Explorer, correct-click the white house or beneath the brand new menu, pick New Connection to a database. From the new Connection window, you remark that you can consume the IBM facts Studio to connect to several IBM information sources, in addition to non-IBM records sources. pick the database supervisor and enter the imperative connection parameters. determine 4.28 indicates an example.

    Figure 4.27

    determine 4.27 Open the Database Administration point of view

    Pull down the JDBC driver drop-down menu, and you may select the character of JDBC driver to accomplish consume of. JDBC classification 4 driver is used by means of default.

    Use the test Connection button to ensure the connection guidance you enter is valid. click on conclude.

    At this element, you endure created a connection profile. Connection profiles hold tips about how to connect with a database comparable to indicating the class of authentication for consume when connecting the database, specifying default schema, and configuring tracing alternatives. different group members can import the connection profiles to their own IBM records Studio and be able to installation a group of constant connection settings.

    To supersede the connection profile, right-click the database and select residences. residences for the database are displayed as shown in determine four.29.

    usual Database Administration equipment

    There are few different beneficial administration initiatives accessible within the menu illustrated in design 4.29.

    The manipulate Connection characteristic makes it possible for you to rename the connection profile, delete the connection profile, change the user identification and password, and replica the profile. The back Up and restore feature makes it possible for you to setup a database or desk space backups. in the appropriate editor, that you can specify the classification of backup, region of the backup pictures, and performance alternate options for the backup. Database backup and recuperation is mentioned in Chapter 10, “holding, Backing Up, and recuperating facts.”

    The deploy and Configure characteristic permits you to configure the database. Database configuration and this IBM statistics Studio office are coated in detail in Chapter 5. keep from the menu, you could launch the Configure computerized maintenance editor. DB2 gives automated upkeep capabilities for performing database backups, reorganizing tables and indexes, and updating the database statistics as vital. The editor allows you customise the computerized renovation policy (see determine 4.30).

    Figure 4.30

    determine four.30 select the computerized protection policy alternatives

    The manage Database feature enables you to start and halt the database. In DB2, that means activating and deactivating the database. Activating a database allocates every the crucial database remembrance and functions or techniques required. Deactivating a database releases the remembrance and prevents DB2 features and techniques.

    The computer screen characteristic launches the IBM records Studio web Console. check with the part, “IBM information Studio web Console,” for introduction of the tool.

    The Generate DDL office uses the DB2 command-based appliance db2look to extract the facts Definition Language (DDL) statements for the identified database objects or the entire database. This office and gear advance easy if you befall to wish to mimic a database, a group of database objects, or the database information to a different database. as a result of the Generate DDL characteristic in IBM information Studio or the DB2 command db2look, you receive a DDL script. The script contains statements to re-create the database objects you've got chosen. remark design four.31 for a reference of the styles of statements which you can generate the usage of the IBM data Studio.

    Figure 4.31

    determine four.31 Generate DDL feature in the IBM information Studio

    For finished alternatives for the DB2 command db2look, consult with the DB2 information middle.

    The delivery Tuning feature configures the database to allow question tuning. You could receive a warning indicating that you simply should spark off the InfoSphere Optim question Workload Tuner (OQWT) license for superior tuning capability. word that IBM DB2 superior commercial enterprise Server version comes with OQWT. keep the guidelines to drill the product license or click on confident to configure the database server for tuning with the points complementary in the IBM facts Studio.

    When the database is configured to accomplish consume of the tuning advisors and equipment, you're presented with the query Tuner Workflow Assistant, as proven in determine 4.32.

    From the question Tuner Workflow Assistant, that you can acquire a statement from a number of sources and tune the statement. in the capture view, it offers you a listing of sources where that you would be able to capture the statements. design four.33 suggests an instance on taking pictures the SQL statements from the kit Cache. This illustration captures over one hundred statements. right-click on the remark in which you endure an interest and pick array SQL observation or sprint Single-question Advisors and tools on the selected statement.

    Run the question advisors and outfit on the selected statement. that you would be able to now enter the Invoke view. The device collects suggestions and data and generates a scholarship entry diagram (see design 4.34).

    When the question tuning actions are finished, you're brought to the evaluation view. It gifts you the analysis outcomes and an marketing consultant advice, such as the one proven in determine 4.35. The appliance documentation recommends gathering and re-amassing every of vital facts of the question.

    you could additionally evaluation the entry diagram graph generated by route of the DB2 interpret characteristic (see design 4.36 for an instance). recall to store the evaluation for future references and evaluate them if vital.

    The manipulate Privileges characteristic permits you to provide database privileges to the clients. deal with Chapter 8, “enforcing safety,” for particulars about privileges and database access controls.

    everyday Database edifice equipment

    IBM statistics Studio consolidates the database administration and database construction capabilities. From the chore Launcher – enhance, you find an inventory of key progress projects equivalent to creating and working SQL statements, debugging saved approaches, and consumer-defined capabilities (UDFs). 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 sprint SQL scripts that comprise multiple SQL and XQuery statements. To launch the editor, open the information project Explorer; below SQL Scripts opt for New > SQL or XQuery Script. As shown in design four.37, a sample SQL script is entered. you can configure the sprint options for the script.

    The editor codecs the SQL statements nicely and provides syntax highlights for simpler analyzing as you enter the SQL statements. The performance content material support is additionally very advantageous. It lists the entire existing schemas within the database so that you can just select one from the drop-down menu. The editor additionally parses the statement and validates the statement syntax. you could validate the syntax in scripts with multiple database parsers and sprint scripts against multiple database connections.

    SQL query Builder

    The SQL query Builder makes it possible for you to create a separate SQL commentary, but it surely does not support XQuery. as the appellation implies, the appliance helps you construct an SQL statement. It helps you appear to be on the underlying database schema or build an expression, as shown in determine 4.38.

    Database Routines Editor and Debugger

    stored strategies and consumer-described capabilities (UDFs) are database utility objects that encapsulate application genuine judgment at the database server instead of in utility-level code. consume of software objects support slit back overhead of SQL statements and the results which are passed throughout the network. saved tactics and UDFs are also called routines. IBM facts Studio supports routines progress and debugging.

    From the records venture Explorer, create a new statistics progress task. within the challenge, you can create quite a few kinds of database utility objects akin to stored approaches and UDFs (see determine 4.39). To debug a hobbies, appropriate-click on the events and pick Debug.


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    IBM specializes in counsel Governance with New software, features | killexams.com true Questions and Pass4sure dumps

    IBM closing week announced two new items aimed toward helping businesses accomplish confident that guidelines and guidelines involving access to suggestions are enforced. both products, Optim statistics Redaction and IBM InfoSphere company information array screen, will develop into purchasable in March. InfoSphere handiest will develop into purchasable to a pick neighborhood of customers. IBM additionally announced new features and a brand new core of Excellence dedicated to assistance governance.

    New regulations, such because the currently bolstered HIPAA and the hi-Tech Act, are inserting superior restraints on how corporations–especially organizations in the healthcare enterprise–manage choice records. IBM has moved aggressively to fulfill these new necessities through the progress of latest items, fancy the new Optim and InfoSphere equipment, and acquisitions, similar to remaining week’s announced acquisition of provoke, a developer of records integrity utility for groups within the healthcare and government industries.

    Optim information Redaction is the latest product to be participate of the Optim family unit of equipment, which IBM bought through its 2007 acquisition of Princeton Softech. The utility is designed to automatically admire and snitch away sensitive content material from files and kinds. The application may be used by means of a bank, for example, to veil a consumer’s credit score ratings in a mortgage doc from an office clerk, while allowing it to be viewed via a loan officer, based on IBM.

    It’s no longer lucid no matter if Optim data Redaction will drudgery without leisurely with DB2/400; IBM did not instruct and particulars of the product don't appear to be yet accessible. If it’s fancy other Optim items, such because the archiving and behold at various administration software for JD Edwards EnterpriseOne that drudgery with DB2/400 and i/OS handiest through “toleration guide”, then it’s dubious a device i store would are looking to leap in the course of the hoops to accomplish consume of it, except they've loads of different statistics to give protection to on Unix, windows, Linux, and mainframe techniques.

    IBM famous that the upcoming InfoSphere company monitor product would drudgery with every DB2 statistics, including, presumably, DB2/four hundred (which IBM officially calls DB2 for i), besides other distinguished DBMSes, company intelligence techniques, and ERP methods. The utility is designed to alert directors when unexpected breaks within the stream of facts lift the probability of blunders constructing within the facts.

    IBM offers the illustration of a medical health insurance company this is inspecting income margins across distinctive product strains and geographies. If the information feed from one participate of the realm did not accomplish it into the aggregated database used for evaluation, InfoSphere commerce computer screen would alert the administrator to the difficulty, and steps may be taken to fix it.

    IBM says InfoSphere company computer screen is primarily based partially on know-how developed by Guardium, a database security software commerce that IBM obtained ultimate fall. Guardium’s products received DB2/four hundred succor ultimate spring.

    large Blue’s international features unit also introduced the groundwork of a new company committed to assisting purchasers with their recommendation governance needs. called the IBM international enterprise services’ assistance Governance middle of Excellence (COE), the corporation can be capable of tap greater than 250 IBM professionals with scholarship within the design, building, and deployment of information governance initiatives.

    linked experiences

    facts masking device from Camouflage Now helps DB2/four hundred

    IBM Beefs Up Database security with Guardium buy

    information masking appliance from dataguise to derive DB2/400 aid

    IBM supplies Optim Archiving and test utility for JDE, but Goofs Up i OS support

    IBM Updates InfoSphere statistics Architect

    Guardium provides DB2/400 aid to Database protection device

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    How Hadoop Keeps Even wee Businesses In the Loop for mammoth Data Analytics | killexams.com true 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 better things fancy commerce performance and customer relationship management.  This unstructured data is known in the industry as mammoth data.  Every company that conducts physical and electronic transactions has access to mammoth data, but it was not until recently that corporate leaders began to fully recognize mammoth data’s potential to succor them to forecast trends needed to better competitive advantage.  large businesses were at an odds because they could purchase specialized hardware and hire the human resources that are needed to prepare the diverse data for analysis.  Convenient features fancy outstrip reporting in Hadoop allow wee businesses to harness the power of mammoth 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 appliance for corporate data science teams.

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

    Tighten Up mammoth Data Security Using Third Party Tools and Add-OnsData security remains a pungent 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 snitch information or debauch 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 mammoth data by numerous companies just opens up a new path for cyber criminals because they endure greater amounts of unsecured data to exploit.  Hadoop was not originally built with security mechanisms in place, but third party tools fancy IBM InfoSphere Optim Data Masking, Cloudera Sentry and DataStax Enterprise endure 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 mammoth Data Processing Through Hadoop Integration With approved IT System BrandsA magnificient odds 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 theme on many factors including the location of the data and the server platform used.  Many businesses reliance Microsoft’s brand and endure outfitted their organization with the company’s servers, operating system and application software.  Although Microsoft’s products endure been known not to be compatible with competing software systems,  the computing giant has taken magnificient strides to update their flagship MS SQL Server product so that it and its Parallel Data Warehouse utility connects with Hadoop.  Microsoft Office applications fancy outstrip endure 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 diagram was to accomplish 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, accomplish it the ideal product to use.

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

    Julian Stuhler shares his pick of the most distinguished 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 endure some sort of repercussion on data management professionals during the next 12-18 months.

    Introduction

    The Greek philosopher Heraclitus is credited with the maxim "Nothing endures but change". Two millennia later those words quiet 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 distinguished 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 endure some sort of repercussion on data management professionals during the next 12-18 months.

    1. animated on a Smarter Planet

    You don't endure to be an IT professional to remark that the world around us is getting smarter. Let's just snitch a behold 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 of these accomplish their lives easier and safer by using real-time data to accomplish smart decisions.

    However, every of this is just the beginning: everywhere you behold the world is getting more "instrumented", and ingenious technologies are being adopted to consume the real-time data to accomplish things safer, quicker and greener. Smart electricity meters in homes are giving consumers the aptitude to monitor their energy usage in true time and accomplish informed decisions on how they consume it, resulting in an middling 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 endure to manage (see trend #2 below) but the IT repercussion goes a lot deeper than that. The very infrastructure that they sprint their IT systems on is also 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 aptitude to virtualize and consolidate multiple physical servers can rescue an colossal amount of power, money and valuable IT seat 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 route 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 conclude 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 roam towards packaged ERP and CRM applications, increased regulatory and audit requirements, investment in advanced analytics and major company mergers and acquisitions are every contributing to this explosion of data, and the roam towards instrumenting their planet (see trend #1 above) is only going to accomplish things worse.

    As the custodians of the world's corporate data, they are at the acute conclude of this particular trend. We're being forced to derive more inventive with database partitioning schemes to reduce the performance and operational repercussion of increased data volumes. Archiving strategies, usually an afterthought for many new applications, are becoming increasingly important. The roam to a 64-bit remembrance model on every 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 multiply and new types of data such as XML and geospatial information are integrated into their corporate data stores (see trend #5), we'll endure to derive 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 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, consume of special hardware is becoming ever more distinguished on every of the major computing platforms.

    In 2004, IBM introduced the zAAP (System z Application Assist Processor), a special character 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, drudgery can be offloaded from the general-purpose processors to better overall capacity and significantly reduce running costs (as most mainframe customers pay according to how much CPU they singe on their general-purpose processors). These "specialty coprocessors" endure 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: they can await the theme of workload optimization through dedicated hardware to continue.

    On the distributed computing platform, things endure 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 sprint hundreds or thousands of parallel processes is proving valuable for every 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) endure 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 benevolent of environment, it's a true deal 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 participate of DB2 10 for z/OS qualify on both counts.

    Many IT systems need to maintain some form of historical information in addition to the current status for a given commerce object. For example, a monetary institution may need to retain the previous addresses of a customer as well as the one they are currently animated at, and know what address applied at any given time. Previously, this would endure 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 participate of the core database engine. every you need to execute is testify 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 revert 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 await other databases (both IBM and non-IBM) to implement this feature sooner rather than later.

    5. The surge of XML and Spatial Data

    Most relational databases endure 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 consume specialized applications such as IBM Content Manager to wield this information more effectively than a general-purpose database. These benevolent of applications typically execute not endure to fulfill 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 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 reckon 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 commerce documents increases, so too does the need 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 new feature any more, but the trend I've observed is that more organizations are surge to actually accomplish consume of pureXML within their systems. The aptitude to offload some XML parsing drudgery to a zAAP coprocessor (see trend #3) is certainly helping.

    Nearly every of their existing applications hold a wealth of spatial data (customer addresses, supplier locations, store locations, etc): the trouble is we're unable to consume 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 divorce 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 new store? Or if a property you're about to insure is within a known flood unostentatious or lofty crime area? every 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 surge to remark the potential and design applications to exploit this feature.

    6. Application Portability

    Despite the relative maturity of the relational database marketplace, there is quiet fierce competition for overall market participate 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 bold souls that undertook migration projects in the past faced a difficult process, often entailing significant application and risk to port the database and associated applications to sprint on the new platform. This made large-scale migrations relatively rare, even when there were compelling cost or functionality reasons to roam to another platform.

    Two trends are changing this and making porting projects more common. The first is the surge of the packaged ERP/CRM solution from companies such as SAP and Siebel. These applications endure 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 quiet be genuine reasons to be on a specific vendor's database in terms of functionality or price, the twinge of stirring 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 endure 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 sprint the vast majority of Oracle applications natively against DB2 with cramped 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 sprint against DB2. With these features greatly reducing the cost and risk of changing the application code to drudgery with a different database, every 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 remark 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 launch to lose significant market participate as a result.

    7. Scalability and Availability

    The aptitude to provide unparalleled scalability and availability for DB2 databases is not new: high-end mainframe users endure 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 sprint mission-critical systems with 24x7 availability and no separate 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 route to scale.

    Two developments endure resulted in this making my top 10 trends list. Firstly, I'm seeing a significant number of mainframe customers who had not previously taken odds of data sharing launch to snitch 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 understanding that this is set to be mammoth word 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 endure on distributed DB2 customers that sprint lofty volume mission critical applications. Before pureScale, those customers had to reckon on features such as HADR to provide failover support to a divorce server (which could require many seconds to snitch 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 possible for organizations to snitch 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 edifice skills and experience in specific vendor's products, thereby reducing support costs.

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

    Two acquisitions during the past 12 months endure 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 separate stroke, Oracle was able to proffer potential customers a completely integrated hardware/software/application stack.

    The jury is quiet 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 pick to integrate the Sybase database technology into the SAP product. That will quiet leave them theme 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 remark some startling similarities to the low veteran 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 challenging to remark how far customers are willing to fade down the separate 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 support application for IMS databases. The aptitude to build a warehouse within the selfsame environment as your operational data resides (and thereby avoid the expensive and time-consuming process of stirring that data to another platform for analysis) is attractive to many customers.

    IBM is making significant efforts to accomplish this an attractive proposition for more of their mainframe customers. The Cognos tools endure been available for zLinux for a yoke of years now, and the DB2 for z/OS progress team endure 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 lofty performance appliance-like blade for System z capable of handling intensive BI query workloads with minimal repercussion to CPU.

    IBM is serious about BI on the mainframe, and is edifice 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 selfsame time, there has been an increasing focus on data quality: low data can result in low commerce 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 surge to advance together under the general heading of data governance. As their database systems derive 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: sprint Oracle applications on DB2 9.7 for Linux, Unix, and WindowspureScaleIBM Smart Analytics OptimizeIBM Smart Analytics System 9600IBM Data governance

    » remark every Articles by Columnist Julian Stuhler


    Using Hadoop to Augment Data Warehouses with mammoth Data Capabilities | killexams.com true questions and Pass4sure dumps

    If you sprint a data warehouse at your organization, you may be wondering how the latest mammoth data technologies, such as Hadoop, can capitalize your information analysis. According to IBM product manager Vijay Ramaiah, there are several ways that Hadoop and related tools can augment an existing data warehouse and deliver new analytical capabilities along the way.

    Organizations that endure already invested lots of time and money into edifice a data warehouse may be genuine candidates for augmenting their warehouse with a Hadoop-based system if they countenance one of several circumstances, Ramaiah, who is the product manager for IBM’s mammoth data portfolio, says in a recent video.

    When an organization is “drowning” in mammoth data or throwing away data because it need the capability to store and process it, that may signify a genuine time to front-end an existing data warehouse with a Hadoop repository include, Ramaiah says. Similarly, if an organization is using the warehouse to store every data, including frigid or rarely accessed data, they may be better off shunting that data over to Hadoop. Organizations that want to dissect non-operational data; that want to explore large and knotty sets of data; or that are looking to leisurely a data warehouse upgrade are also genuine candidates.

    One effectual route of using of Hadoop with an existing data warehouse is to consume Hadoop as a “landing zone” for big, raw data, Ramaiah says. “Instead of taking every this directly into your warehouse or other aspects of your enterprise environment, what if you could bring every this data, land it in Hadoop, consume it as a site where you can execute some pre-processing of this data, and then determine if you snitch it on to other systems?” he asks in the video.

    The second common job for Hadoop in existing data warehousing environments is using Hadoop to fulfill data discovery and analytics on combinations of structured, semi-structured, and unstructured data, including real-time streaming data (possibly in conjunction with IBM’s text analytics engine). Since most data warehouses require structured data, this is an district where Hadoop and other mammoth data tools can bring net new capabilities to an organization.

    The third common route customers with existing data warehouses consume Hadoop is by using their existing query tools against the columnar data store. “It’s a very effectual route to execute analytics,” Ramaiah says. “The MapReduce technology provides magnificient performance. What would previously snitch you weeks and days now takes minutes and hours.”

    Ramaiah advises organizations to start wee with their Hadoop-based data warehouse augmentations, and grow from there. Given the large volume, velocity, and variety of mammoth data, most projects will capitalize from master data management (MDM) and data lifecycle management tools.

    Organizations can assemble the various components they need as projects and budgets dictate, eliminating the need for a “big bang” mammoth data project, according to Ramaiah. IBM’s distribution of the open source Hadoop database, dubbed InfoSphere BigInsights, includes additional components and capabilities in the areas of text analytics, performance and workload optimization, data visualization, developer and administrative workbenches, enterprise application connectors and accelerators, and security.

    Other mammoth data products from mammoth Blue that might be used in a data warehouse augmentation project may include InfoSphere Information Server, Optim, and Guardium.

    Related items:

    Hadoop Sharks smell Blood; snitch flush at Status Quo

    Hadoop Distros Orbit Around Solr

    The Transformational Role of the CIO in the New Era of Analytics



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