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000-773 IBM Tivoli Data Warehouse V1.2 Implementation

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000-773 exam Dumps Source : IBM Tivoli Data Warehouse V1.2 Implementation

Test Code : 000-773
Test designation : IBM Tivoli Data Warehouse V1.2 Implementation
Vendor designation : IBM
: 52 existent Questions

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IBM IBM Tivoli Data Warehouse

IBM Db2 question Optimization the consume of AI | killexams.com existent Questions and Pass4sure dumps

In September 2018, IBM announced a brand recent product, IBM Db2 AI for z/OS. This ersatz intelligence engine monitors statistics access patterns from executing SQL statements, makes consume of desktop researching algorithms to pick out most suitable patterns and passes this counsel to the Db2 query optimizer for consume by using subsequent statements.

desktop getting to know on the IBM z Platform

In may additionally of 2018, IBM introduced edition 1.2 of its computer studying for z/OS (MLz) product. here is a hybrid zServer and cloud utility suite that ingests performance statistics, analyzes and builds fashions that portray the health status of quite a lot of warning signs, screens them over time and offers actual-time scoring capabilities.

a couple of features of this product offering are geared toward helping a group of mannequin builders and executives. as an instance:

  • It supports assorted programming languages corresponding to Python, Scala and R. This allows records modelers and scientists to construct consume of a language with which they're established;
  • A graphical consumer interface called the visual mannequin Builder publications model builders devoid of requiring tremendously-technical programming abilities;
  • It comprises numerous dashboards for monitoring mannequin consequences and scoring functions, in addition to controlling the rig configuration.
  • This desktop researching suite turned into at first aimed toward zServer-primarily based analytics applications. one of the vital first evident choices become zSystem efficiency monitoring and tuning. device administration Facility (SMF) data which are automatically generated by the operating rig give the raw data for rig useful resource consumption comparable to critical processor usage, I/O processing, memory paging and the like. IBM MLz can assemble and shop these statistics over time, and build and coach models of device behavior, rating those behaviors, identify patterns no longer with ease foreseen via people, enhance key performance indicators (KPIs) and then feed the mannequin outcomes lower back into the gadget to impress system configuration alterations that can help performance.

    The next step turned into to save into upshot this suite to analyze Db2 performance statistics. One solution, called the IBM Db2 IT Operational Analytics (Db2 ITOA) avow template, applies the computing device getting to know know-how to Db2 operational records to profit an understanding of Db2 subsystem health. it may possibly dynamically construct baselines for key efficiency warning signs, provide a dashboard of these KPIs and give operational group of workers precise-time insight into Db2 operations.

    while universal Db2 subsystem efficiency is a vital component in touchstone application health and efficiency, IBM estimates that the DBA assist cadaver of workers spends 25% or extra of its time, " ... combating entry path complications which antecedent performance degradation and repair believe an impact on.". (See Reference 1).

    AI comes to Db2

    accept as proper with the plight of up to date DBAs in a Db2 ambiance. In today's IT world they should assist one or greater massive facts purposes, cloud application and database capabilities, software setting up and configuration, Db2 subsystem and utility efficiency tuning, database definition and management, catastrophe recuperation planning, and more. query tuning has been in being considering the fact that the origins of the database, and DBAs are always tasked with this as neatly.

    The heart of query course analysis in Db2 is the Optimizer. It accepts SQL statements from applications, verifies authority to entry the records, reviews the places of the objects to exist accessed and develops a listing of candidate information entry paths. These entry paths can involve indexes, desk scans, numerous table associate strategies and others. within the records warehouse and massive records environments there are usually additional selections obtainable. One of these is the being of abstract tables (from time to time called materialized question tables) that comprise pre-summarized or aggregated information, hence allowing Db2 to avoid re-aggregation processing. one other alternative is the starjoin entry direction, touchstone in the facts warehouse, where the order of desk joins is modified for efficiency motives.

    The Optimizer then stories the candidate access paths and chooses the entry course, "with the lowest can charge." can charge during this context means a weighted summation of aid utilization including CPU, I/O, reminiscence and other substances. at last, the Optimizer takes the bottom cost access route, retailers it in memory (and, optionally, within the Db2 directory) and starts off entry route execution.

    massive data and records warehouse operations now encompass software suites that allow the business analyst to construct consume of a graphical interface to construct and manipulate a miniature information mannequin of the facts they are looking to analyze. The programs then generate SQL statements in response to the users’ requests.

    The problem for the DBA

    as a route to enact decent analytics in your varied statistics outlets you want a docile realizing of the data requirements, an understanding of the analytical features and algorithms attainable and a high-performance data infrastructure. unluckily, the quantity and site of facts sources is increasing (both in measurement and in geography), records sizes are becoming, and applications proceed to proliferate in number and complexity. How should IT managers back this atmosphere, notably with the most skilled and develope staff nearing retirement?

    remember likewise that a tall allotment of cutting back the entire can charge of possession of those systems is to pick up Db2 applications to Run sooner and greater correctly. This usually interprets into the usage of fewer CPU cycles, doing fewer I/Os and transporting much less statistics across the community. due to the fact that it's often tricky to even establish which applications could advantage from performance tuning, one strategy is to automate the detection and correction of tuning concerns. this is the set desktop gaining lore of and ersatz intelligence can likewise exist used to exquisite impact.

    Db2 12 for z/OS and synthetic Intelligence

    Db2 version 12 on z/OS makes consume of the laptop learning facilities mentioned above to acquire and preserve SQL question textual content and access path details, as well as actual efficiency-related archaic counsel corresponding to CPU time used, elapsed times and outcomes set sizes. This offering, described as Db2 AI for z/OS, analyzes and stores the records in desktop learning models, with the mannequin evaluation outcomes then being scored and made accessible to the Db2 Optimizer. The next time a scored SQL statement is encountered, the Optimizer can then consume the mannequin scoring facts as enter to its access course alternative algorithm.

    The upshot may soundless exist a discount in CPU consumption as the Optimizer makes consume of model scoring enter to opt for stronger entry paths. This then lowers CPU costs and speeds application response instances. a tall skills is that the usage of AI utility doesn't require the DBA to believe data science capabilities or deep insights into query tuning methodologies. The Optimizer now chooses the most desirable access paths based no longer best on SQL question syntax and facts distribution information however on modelled and scored archaic efficiency.

    This may likewise exist above outright essential in case you store information in multiple locations. as an example, many analytical queries in opposition t massive facts require concurrent access to inescapable statistics warehouse tables. These tables are frequently known as dimension tables, and that they involve the statistics facets continually used to control subsetting and aggregation. as an example, in a retail atmosphere accord with a desk known as StoreLocation that enumerates each shop and its location code. Queries against shop revenue statistics may want to blend or summarize sales via region; hence, the StoreLocation table can exist used by means of some tall records queries. during this ambiance it is medium to remove the dimension tables and duplicate them constantly to the huge information application. in the IBM world this location is the IBM Db2 Analytics Accelerator (IDAA).

    Now reckon about SQL queries from both operational purposes, records warehouse clients and massive records enterprise analysts. From Db2's point of view, outright these queries are equal, and are forwarded to the Optimizer. despite the fact, in the case of operational queries and warehouse queries they should soundless obviously exist directed to entry the StoreLocation desk in the warehouse. having said that, the question from the business analyst in opposition t huge records tables should soundless probably access the reproduction of the desk there. This consequences in a proliferations of advantage access paths, and more toil for the Optimizer. fortunately, Db2 AI for z/OS can give the Optimizer the guidance it needs to construct sensible entry direction decisions.

    the route it Works

    The sequence of hobbies in Db2 AI for z/OS (See Reference 2) is commonly here:

  • throughout a bind, rebind, save together or clarify operation, an SQL remark is handed to the Optimizer;
  • The Optimizer chooses the records entry route; as the alternative is made, Db2 AI captures the SQL syntax, access direction option and question performance statistics (CPU used, and many others.) and passes it to a "researching task";
  • The getting to know task, which can likewise exist executed on a zIIP processor (a non-customary-goal CPU core that doesn't factor into software licensing prices), interfaces with the laptop researching utility (MLz model functions) to save this guidance in a model;
  • because the amount of data in every mannequin grows, the MLz Scoring provider (which likewise can exist achieved on a zIIP processor) analyzes the mannequin facts and rankings the behavior;
  • all over the next bind, rebind, save together or explain, the Optimizer now has entry to the scoring for SQL fashions, and makes preempt changes to access course selections.
  • There are likewise various person interfaces that supply the administrator visibility to the status of the collected SQL remark efficiency information and mannequin scoring.

    summary

    IBM's laptop getting to know for zOS (MLz) offering is being used to superb impact in Db2 edition 12 to enhance the efficiency of analytical queries as well as operational queries and their associated functions. This requires management consideration, as you must determine that your business is prepared to ingest these ML and AI conclusions. How will you measure the prices and benefits of the consume of machine studying? Which IT aid personnel must exist tasked to reviewing the influence of model scoring, and maybe approving (or overriding) the outcomes? How will you review and warrant the assumptions that the application makes about entry route selections?

    In different words, how neatly did you know your records, its distribution, its integrity and your present and proposed access paths? this may investigate where the DBAs expend their time in aiding analytics and operational software efficiency.

    # # #

    Reference 1

    John Campbell, IBM Db2 uncommon EngineerFrom "IBM Db2 AI for z/OS: boost IBM Db2 software performance with computing device researching"https://www.worldofdb2.com/movements/ibm-db2-ai-for-z-os-raise-ibm-db2-utility-performance-with-ma

    Reference 2

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


    IBM dashDB provides with cloud information warehouse | killexams.com existent Questions and Pass4sure dumps

    IBM dashDB is a managed cloud information warehousing provider that developers, database directors, company analysts, statistics scientists and others can consume to build recent solutions, architectures and functions. This cloud statistics warehouse as a service is designed to permit the birth of rapid enterprise intelligence and analytics, regardless of the limitations of a company's current infrastructure.

    IBM dashDB is accessible online via IBM's Bluemix platform, which is the enterprise's open cloud structure in accordance with the Cloud Foundry task. After logging into Bluemix, customers can start using dashDB with the aid of provisioning their personal sample -- free, multi-tenant -- or by means of deciding to buy an business plan.

    IBM dashDB aspects and highlights

    when you reckon that IBM dashDB is a fully managed provider, database administrators enact not deserve to operate lots of the processes crucial for on-premises database implementation, similar to managing situations and setting up patches.

    The provider contains DB2 with BLU Acceleration, which gives in-memory capabilities, columnar facts, sole instruction diverse data processing and records skipping. apart from tremendously shrinking statistics, BLU energetic compression additionally allows the database administration device to execute joins, kinds and predicate evaluation while facts remains compressed.

    yet another core function is in-database analytics offered by route of Netezza technology. This lets users analyze warehouse facts using R and different developed-in IBM Netezza Analytics (INZA) services.

    moreover, dashDB can system unstructured facts because it comes with direct integration to IBM Cloudant. This permits users to comprise Javascript demur Notation and NoSQL data into statistics warehousing and analytics purposes.

    IBM dashDB offers commercial enterprise remarkable protection, together with computerized encryption for data at relaxation and in transit, database recreation monitoring by means of IBM InfoSphere Guardium, advanced database entry control, and deployment hardening.

    on the grounds that dashDB is in the cloud, the operating rig and illustration are outright hosted and managed through IBM. every 4 weeks, recent functionality is brought, but there is no version number or unlock linked to these updates it truly is externalized. IBM handles the code and does the updates at the back of the scenes, so clients are outright the time at the latest unlock.

    DashDB licensing, pricing and guide

    The IBM dashDB information warehousing provider presents multi-tenant plans (i.e., the client will believe one schema within a shared database) that can exist purchased online by the consume of credit card. a wide scope of pricing alternatives are available. The service is free so long as the quantity of statistics to exist kept is less than 1 GB. For more than 1 GB, there are five plans attainable from IBM -- one entry-degree and four business-stage.

    Entry degree presents up to 20 GB of storage enviornment network capacity in a multi-tenant ambiance and is billed at a flat fee of $50 monthly. clients can pick to consume dashDB for tremendous, enterprise-scale cloud data warehouse construction the usage of probably the most four dedicated, single-tenant enterprise plans:

  • business 1 TB, which provides a digital atmosphere with 16 cores, 64 GB memory and up to 1 TB of information (preload) for $1,one hundred forty per month.
  • enterprise 4 TB, which presents a naked metallic environment with 32 cores, 256 GB reminiscence and up to 4 TB of statistics (preload) for $4,560 per thirty days.
  • business 12 TB, which contains a naked steel ambiance with 32 cores, 256 GB memory and up to 12 TB of information (preload) for $7,one hundred sixty monthly.
  • business MPP, which provides a 3- to five-node cluster (bare metallic), each and every with 24 cores per node and 256 GB of reminiscence per node. Storage is a solid-state constrain for as much as four terabytes of data (preload) per node. The cost is $5,250 per thirty days per node.
  • A neighborhood discussion board sheperd is equipped for the free edition, and clients of the above plans obtain full back with their monthly service at no further cost. outright severity-one concerns are supported 24/7 with the aid of IBM.


    IBM provides Analytics, facts Warehousing to Bluemix | killexams.com existent Questions and Pass4sure dumps

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    NHIC Ilsan Hospital Turns to IBM to Manage Medical Information Systems | killexams.com existent questions and Pass4sure dumps

    SOURCE: IBM

    September 14, 2006 06:00 ET

    ARMONK, NY -- (MARKET WIRE) -- September 14, 2006 -- IBM (NYSE: IBM) today announced that NHIC Ilsan Hospital in Korea is using IBM software to manage its recent medical information system.

    To establish its advanced medical information system, NHIC Ilsan Hospital realized it first had to address the route it managed its broad set of IT systems and services. The hospital turned to IBM to establish a service-based system management environment that can aid forestall failures in IT infrastructure, such as system outages, and respond quickly in the case of network bottlenecks or failures.

    The hospital has three core systems: the Hospital Information System for registration, payment, treatment, nursing, and universal management of patients; the Medical Data Warehouse, which manages medical analysis information; and the Picture Archiving & Communication System for archiving and managing medical data. The hospital needed to efficiently manage outright three of these systems, as well as various applications that Run on top the systems, such as the hospital's Order Communication System, web portal and data warehouse. They likewise wanted to construct it easier for hospital staff to access medical records through "single sign-on," which reduces the number of IDs and passwords required.

    To accomplish this, the hospital worked with IBM to develop a service-based IT environment that integrates the management of systems, networks and applications. A sole reporting system enabled the hospital to achieve improved efficiency while Tivoli's automated early-warning system minimized service downtime through the immediate detection and notification of IT failures.

    "The biggest judgement they selected IBM for this project was because of their operational know-how and broad IT management portfolio," said SungJik Jung, medical information team leader for NHIC Ilsan Hospital. "With the implementation of this architecture, NHIC Ilsan Hospital will continue to strive for efficient management of IT infrastructure to back advanced medical digitalization."

    IBM's portfolio of IT service management software automates some of the most challenging processes associated with managing a complex IT environment -- such as managing storage devices, addressing IT failures and deploying recent software releases and patches. The software helps customers fight rising IT costs and manage constant change brought on by security threats and the demand to abide competitive in the marketplace.

    "The business improvements brought about by IT service management inaugurate with the core areas of technology infrastructure," said JaeHong Kim, Tivoli brand manager, IBM Korea. "That's what we're doing with NHIC Ilsan Hospital -- helping them change the route they manage their IT processes so they can more efficiently operate their core medical information systems."

    The IBM products used for this project involve IBM Tivoli Monitoring for failure and performance management of hardware, database and middleware; IBM Tivoli Enterprise Console; IBM Tivoli Netview for network management; IBM Tivoli business System Manager; and IBM TotalStorage Productivity seat for failure management of storage products. Penta Systems Technology, an IBM business Partner, handled the implementation.

    For more information about IBM, depart to: www.ibm.com

    IBM and Tivoli are trademarks of International business Machines Corporation in the United States, other countries, or both. Other company, product or service names may exist trademarks or service marks of others.


    Eckerd Takes It To The Next even | killexams.com existent questions and Pass4sure dumps

    When Eckerd decided in 2001 to bring technology operations in-house, Chief Information Officer Ken Petersen bet his job that he and his staff could enact it better than IBM.

    It didn't remove a lot of looking for the team to find places where it could help upon IBM's route of doing things, after its ten years of running Eckerd's information systems.

    For example, the processes IBM had in set for collecting sales data and loading it into Eckerd's Oracle-based data warehouse required "a lot of handholding," says Terri Cull, director of store systems. For instance, batch jobs for consolidating sales reports and updating the data warehouse used to analyze trends often got tangled up and stopped. Data seat operators frequently had to manually restart batch jobs that stalled.

    Cull says that was just one sample of "manual or near-manual processes" in which computerized jobs had to exist actively monitored or they wouldn't toil correctly.

    "That benevolent of speaks to what the outsourcer's motivation is," Petersen says, suggesting that labor-intensive processes weren't as tall of a concern for IBM, since it was in the business of supplying technical staff. But they were a concern for Eckerd, as it worked to create a lank and effectual technology department. IBM declined repeated requests for comment.

    Eckerd decided to bring computing back in-house in order to slice its outsourcing fees and regain control of strategic initiatives enjoy its Quantum Leap supply-chain improvement project.

    A side benefit has been making its information processing and technology services operations more responsive. For instance, under IBM, the data available for merchandisers trying to analyze sales patterns was often two or three days old—which Petersen likens to "flying blind." Managers necessity current data to exist able to contemplate things enjoy the profit margin on sales and how rapid items are selling, he says. So eliminating delays in updates is a top priority.

    Part of the avow turned out to exist more efficient consume of one of IBM's own technologies, the "Maestro" job scheduler (formally known as Tivoli Workload Scheduler).

    The challenge was to unravel dependencies between jobs and ensure that the process would Run without interruption. Dependencies exist wherever one job must exist completed before the next job can begin. A simple example: Before pharmacy sales can exist loaded into the data warehouse, they must exist Run through an insurance-claims processing system. So if anything goes wrong in claims processing, None of the other steps that depend on the pharmacy sales data can proceed.

    Maestro works by launching computing jobs across multiple computers in the right order to accomplish a given task—in this case, extracting data from multiple operational systems, transforming it into the format the data warehouse expects, and loading it into its Oracle database.

    Eckerd programmers asked Maestro to automatically monitor whether any assignment was taking too long. If so, the scheduler would capture a snapshot of the functions being executed and variables in memory for analysis.

    By methodically analyzing these logs and whittling away at problems, they turned the process into one that would Run reliably overnight, rather than taking two or three days.

    A bigger problem arose when the data warehouse needed to exist reorganized—a frequent requirement when the company starts selling a major, recent product line in its stores. Previously, reconfiguring the data repository to toil with recent sales data required six weeks of planning and one week of downtime for the data warehouse.

    Through more methodical work, Eckerd turned the warehouse reorganization process into one that can exist planned within a week and executed with 24 hours—when the data warehouse is offline.

    Given that this is a periodic requirement—something that comes up several times a year, but not constantly—that outage is considered acceptable under the current service even agreement with the merchants.

    Getting it there involved writing programs to manipulate data in mainframe systems, as well as Unix scripts and Oracle stored procedures to streamline the processing of reorganizing the data warehouse.

    Eckerd likewise improved basic realm technical back to preserve stores operating smoothly. Senior Director of Store back Mike Amato says he and members of his staff who had backgrounds in store operations brought a recent appreciation of what was important.

    For example, a nationwide shortage of pharmacists has drug chains competing over recruiting and retention. Amato says he has seen employees quit over the steady, Chinese-water-torture drip of wee but constant frustrations enjoy having prescription label printers demolish down on a regular basis.

    So he emphasizes preventative maintenance, using failure statistics to impose how often printers should exist serviced, for example, rather than waiting for them to demolish down.

    "I wouldn't believe had that perception of pharmacy if I had not worked behind counters and in pharmacies," Amato says. "Technology is something they want to exist invisible to the user."

    The effort has paid off, Amato says. Previously, he got about 180 calls per month from realm personnel complaining about technical problems that hadn't been solved or hadn't been addressed quickly, he says. The back staff whittled that number to less than 10 in February. "That's a heck of a record," he says proudly.

    Petersen says the improvement in back was likewise one of the things that got the most attention within Eckerd. "There wasn't a day that went by after they made this change that I didn't pick up an e-mail from the realm thanking me for doing this," he says.


    A Product Overview of DB2 9 for Linux, UNIX, and Windows | killexams.com existent questions and Pass4sure dumps

    In this chapter you will exist introduced to the DB2 family of products that Run on the Linux, UNIX, and Windows operating systems.

    This chapter is from the bespeak 
  • DB2 PRODUCTS and PACKAGING
  • DB2 CONNECTIVITY
  • DB2 TOOLS
  • DB2 ADMINISTRATION
  • In this chapter you will exist introduced to the DB2 family of products that Run on the Linux, UNIX, and Windows operating systems. This version of DB2 is often referred to as the distributed version to differentiate it from the DB2 for z/OS® version that runs on an IBM mainframe.

    DB2 has the skill to store outright kinds of electronic information. This includes traditional relational data, data encoded within XML as well as structured and unstructured binary information, documents and text in many languages, graphics, images, multimedia (audio and video), information specific to operations enjoy engineering drawings, maps, insurance claims forms, numerical control streams, or any type of electronic information. This chapter illustrates some of the ways to access data in a DB2 database using some of the interfaces provided within the DB2 family. A description of each of the DB2 products are provided to illustrate some of DB2's features and functions.

    The DB2 Data Server is an needful allotment of IBM's Information as a Service software portfolio that serves as the atomic even for the broader IBM On demand architecture.

    In figure 1-1 you can contemplate that the IBM software portfolio has really evolved into a collection of tall value services provided by various IBM software portfolio offerings. The backbone fabric of this IBM reference architecture is the Enterprise Service Bus (ESB) that is used to facilitate communications across this rich set of services.

    Figure 1-1

    Figure 1-1 IBM Service Framework for an On demand business

    IT Service Management is mostly provided by various Tivoli® products. The Tivoli portfolio is built around four key disciplines or pillars:

  • Security Management
  • Storage Management
  • Performance and Availability
  • Configuration and Operations
  • Services from these pillars can exist used to collectively manage your entire IT framework. For example, Tivoli Storage Resource Manager services can exist used enterprise-wide to monitor and report on heterogeneous storage resources to augment storage utilization, identify and resolve potential problems, and ensure application availability through policy-based automation.

    Development Services are the culmination of various Rational-based products that are built on the open source Eclipse platform. For example, Rational® ClearCase® provides source control services, and Rational Application evolution empowers application developers with a rich set of services that can exist used to develop applications, Web pages, and extended custom services for implementation in a Services Oriented Architecture (SOA) or loosely coupled application framework.

    Services that enable interaction are typically allotment of the Lotus® suite of products that enhance collaboration and conception sharing across the enterprise and beyond. Products enjoy Lotus Sametime® Connect can exist used for messaging and more.

    A number of services in the framework illustrated in figure 1-1 are provided by the WebSphere® portfolio. For example, a product enjoy WebSphere Integration Developer helps you define business process flows in the touchstone business Process Execution Language (BPEL), which are used to implement process services that in spin aid you define, orchestrate, and automate business policies. The Enterprise Service Bus (ESB) is provided by the WebSphere ESB product that provides your enterprise services with transformation, transport switching, and routing remediation among other services. Perhaps the most renowned product of the WebSphere brand is the WebSphere Application Server that provides a runtime framework for J2EE®-based operations that are allotment of the Infrastructure Services component.

    Finally there's the Information Services which portray the superset of the capabilities you'll learn about in this book. The specific set of services that are typically establish in this allotment of the IBM reference architecture are shown in figure 1-2.

    The services shown to the right in figure 1-2 are hierarchical in nature. In other words, as you toil from bottom to top, the services provided become richer and more business oriented.

    For example, Master Data Management services are provided by the WebSphere Product seat and WebSphere Customer seat products. Master data are facts that recite your core business entities: customers, suppliers, partners, products, bill of materials, employees, and so on. The discipline of Master Data Management seeks to decouple master information from individual applications spread across the enterprise and create a central, application independent, resource. The cessation result is a simplification of ongoing integration tasks and recent application development. This discipline addresses key issues such as data property and consistency proactively rather than "after the fact"; for example, in a data warehouse (a lower service in this taxonomy). There is likewise a set of entity resolution services that fit within the Master Data Management service tier.

    Business Intelligence services are provided by the DB2 Data Warehouse editions that you'll learn more about later in this chapter. Content Manager services are provided by the set of Content Management products and are used for document management, archiving, regulatory retention, and are a basis by which unstructured information (such as FAXes, video, voicemail, and so on) can exist searched and folded into the information asset.

    Information Integration services quest to provide enterprises with ways to share, place, publish, cleanse, and enrich data establish in the lower-level data management services. WebSphere Federation Server and its parent WebSphere Information Server are two such products that aid implement these services.

    Finally, the Data Management services tier is the foundation upon which the other services are built. IBM has a number of data servers that fit into this tier, including DB2, Informix®, IBM Cloudscape™, U2, and IMS™.

    This bespeak is specifically about DB2 in this service tier. Specifically, you'll learn how DB2 can provide any number of the high-value data-centric services shown in figure 1-3.

    Figure 1-3

    Figure 1-3 The data services provided by DB2, the focus of this book

    For more information on the entire IBM software portfolio and how they are mapped to the illustrated services shown Figures 1-1 and 1-2, mention to the IBM Web site at www.ibm.com for more details.

    The DB2 family of data servers executes on Windows, Linux (which can exist Run on the entire spectrum of IBM's hardware: System i™, System z™, System x™, and System p™), Solaris™ (both SPARC®-based and Intel®/AMD™-based installations), HP-UX™ (both PA-RISC™-based and Itanium-based installations), i5/OS®, VSE/VM, z/OS, and on pervasive platforms (like Windows Mobile Edition, BlueCat® Linux, Symbian®, Palm OS®, J2ME® platforms enjoy the RIM® Blackberry®, and more).

    The DB2 code foundation is optimized for each platform to ensure maximum performance and integration. DB2 for Linux, UNIX, and Windows shares about a 98 percent common code foundation with platform-specific optimizations at the operating system interface (OSI) even (Figure 1-4).

    Figure 1-4

    Figure 1-4 The DB2 code for Linux, UNIX, and Windows is virtually the same

    This means that once you've scholarly how to administer a DB2 for AIX system, for the most allotment you'll know how to manage DB2 for Linux or DB2 for Windows; this is the judgement why there is a sole DB2 certification for outright the distributed platforms.

    DB2 for i5/OS and DB2 for z/OS are optimized for their respective environments. For example, DB2 for z/OS is based on a shared-everything disk architecture where the hardware-assisted Coupling Facility is used to serialize access to the shared disk. No such hardware exists for Linux, UNIX, and Windows, and therefore DB2 on these platforms uses a shared-nothing architecture. For this reason, administration tends to vary between these platforms (though many concepts and features are similar). However, the SQL API is 98% common to outright the platforms where DB2 runs, allowing applications written on one platform to exist easily ported to another. This means that you can build an application on DB2 for Windows and port it effortlessly to DB2 for z/OS. If you build your application according to the SQL Reference for Cross-Platform evolution handbook, your application will exist 100% portable across the DB2 family.

    There are other synergies among DB2 running on Linux, UNIX, and Windows, as well as the other DB2 family members. For example, the JDBC driver used for DB2 for z/OS is exactly the selfsame code as is used for DB2 for Linux, UNIX, and Windows. So while there may exist variations in specific data definition language (DDL)-based tasks, the data manipulation language (DML) and client APIs are similar.



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