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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 name : IBM Tivoli Data Warehouse V1.2 Implementation
Vendor name : IBM
real questions : 52 existent Questions

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IBM IBM Tivoli Data Warehouse

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

In September 2018, IBM announced a brand novel product, IBM Db2 AI for z/OS. This ersatz intelligence engine monitors statistics access patterns from executing SQL statements, makes utilize of desktop researching algorithms to pick out most suitable patterns and passes this counsel to the Db2 query optimizer for utilize 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 delineate the health status of quite a lot of warning signs, screens them over time and offers actual-time scoring capabilities.

a yoke 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 acquire utilize 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 tackle 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 tackle give the raw data for tackle useful resource consumption comparable to captious processor usage, I/O processing, remembrance 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 influence system configuration alterations that can ameliorate performance.

    The next step turned into to set into result this suite to analyze Db2 performance statistics. One solution, called the IBM Db2 IT Operational Analytics (Db2 ITOA) respond 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 generic Db2 subsystem efficiency is a vital component in criterion application health and efficiency, IBM estimates that the DBA assist carcass of workers spends 25% or extra of its time, " ... combating entry path complications which antecedent performance degradation and repair gain an repercussion on.". (See Reference 1).

    AI comes to Db2

    accept as cogent 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 actuality 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 comprehend indexes, desk scans, numerous table relate strategies and others. within the records warehouse and massive records environments there are usually additional selections obtainable. One of these is the actuality 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, criterion 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 imbue 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 remembrance (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 traffic analyst to acquire utilize of a graphical interface to construct and maneuver 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 course to accomplish decent analytics in your varied statistics outlets you want a excellent 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 advocate this atmosphere, notably with the most skilled and age staff nearing retirement?

    remember likewise that a spacious share of cutting back the entire can imbue of possession of those systems is to find Db2 applications to avoid 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 odds from performance tuning, one strategy is to automate the detection and correction of tuning concerns. this is the status desktop gaining learning 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 utilize of the laptop learning facilities mentioned above to acquire and retain SQL question textual content and access path details, as well as actual efficiency-related ancient 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 utilize the mannequin scoring facts as enter to its access course alternative algorithm.

    The result may noiseless exist a discount in CPU consumption as the Optimizer makes utilize of model scoring enter to opt for stronger entry paths. This then lowers CPU costs and speeds application response instances. a spacious skills is that the usage of AI utility doesn't require the DBA to gain data science capabilities or abysmal 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 ancient efficiency.

    This may likewise exist above barnone 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 comprehend the statistics facets continually used to control subsetting and aggregation. as an example, in a retail atmosphere correspond with a desk known as StoreLocation that enumerates each shop and its location code. Queries against shop revenue statistics may want to mixture or summarize sales via region; hence, the StoreLocation table can exist used by means of some spacious records queries. during this ambiance it is uninterested to prefer 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, barnone these queries are equal, and are forwarded to the Optimizer. despite the fact, in the case of operational queries and warehouse queries they should noiseless obviously exist directed to entry the StoreLocation desk in the warehouse. having said that, the question from the traffic analyst in opposition t huge records tables should noiseless probably access the reproduction of the desk there. This consequences in a proliferations of odds access paths, and more work for the Optimizer. fortunately, Db2 AI for z/OS can give the Optimizer the guidance it needs to acquire sensible entry direction decisions.

    the course it Works

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

  • throughout a bind, rebind, set 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 deliver 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, set together or explain, the Optimizer now has entry to the scoring for SQL fashions, and makes arrogate 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 repercussion 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 traffic is prepared to devour these ML and AI conclusions. How will you measure the prices and benefits of the utilize 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 spend 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 utilize to build novel 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 case -- free, multi-tenant -- or by means of deciding to buy an traffic plan.

    IBM dashDB aspects and highlights

    when you reckon that IBM dashDB is a fully managed provider, database administrators accomplish 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 discharge joins, kinds and predicate evaluation while facts remains compressed.

    yet another core office is in-database analytics offered by course 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 protest Notation and NoSQL data into statistics warehousing and analytics purposes.

    IBM dashDB offers commercial enterprise Great protection, together with computerized encryption for data at comfort 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 tackle and illustration are barnone hosted and managed through IBM. every 4 weeks, novel 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 barnone 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 gain one schema within a shared database) that can exist purchased online by the utilize of credit card. a wide sweep 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 utilize 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 remembrance 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 remembrance 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 compel 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 lead is equipped for the free edition, and clients of the above plans obtain full advocate with their monthly service at no further cost. barnone 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 novel medical information system.

    To establish its advanced medical information system, NHIC Ilsan Hospital realized it first had to address the course 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 attend 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 generic 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 barnone three of these systems, as well as various applications that avoid on top the systems, such as the hospital's Order Communication System, web portal and data warehouse. They likewise wanted to acquire 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 advocate advanced medical digitalization."

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

    "The traffic improvements brought about by IT service management commence 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 course they manage their IT processes so they can more efficiently operate their core medical information systems."

    The IBM products used for this project comprehend 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 traffic System Manager; and IBM TotalStorage Productivity center for failure management of storage products. Penta Systems Technology, an IBM traffic Partner, handled the implementation.

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

    IBM and Tivoli are trademarks of International traffic 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 plane | 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 accomplish it better than IBM.

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

    For example, the processes IBM had in status 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 center operators frequently had to manually restart batch jobs that stalled.

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

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

    Eckerd decided to bring computing back in-house in order to carve its outsourcing fees and regain control of strategic initiatives devotion 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 exigency current data to exist able to discern things devotion the profit margin on sales and how snappy items are selling, he says. So eliminating delays in updates is a top priority.

    Part of the respond turned out to exist more efficient utilize 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 avoid 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 avoid through an insurance-claims processing system. So if anything goes wrong in claims processing, notanyone of the other steps that depend on the pharmacy sales data can proceed.

    Maestro works by launching computing jobs across multiple computers in the privilege 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 task was taking too long. If so, the scheduler would capture a snapshot of the functions being executed and variables in remembrance for analysis.

    By methodically analyzing these logs and whittling away at problems, they turned the process into one that would avoid 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, novel product line in its stores. Previously, reconfiguring the data repository to work with novel 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 fitful requirement—something that comes up several times a year, but not constantly—that outage is considered acceptable under the current service plane agreement with the merchants.

    Getting it there involved writing programs to maneuver 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 field technical advocate to retain stores operating smoothly. Senior Director of Store advocate Mike Amato says he and members of his staff who had backgrounds in store operations brought a novel 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 diminutive but constant frustrations devotion having prescription label printers demolish down on a regular basis.

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

    "I wouldn't gain 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 exertion has paid off, Amato says. Previously, he got about 180 calls per month from field personnel complaining about technical problems that hadn't been solved or hadn't been addressed quickly, he says. The advocate 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 advocate 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 find an e-mail from the field 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 avoid on the Linux, UNIX, and Windows operating systems.

    This chapter is from the engage 
  • DB2 PRODUCTS and PACKAGING
  • DB2 CONNECTIVITY
  • DB2 TOOLS
  • DB2 ADMINISTRATION
  • In this chapter you will exist introduced to the DB2 family of products that avoid 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 competence to store barnone 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 devotion engineering drawings, maps, insurance claims forms, numerical control streams, or any ilk 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 famous share of IBM's Information as a Service software portfolio that serves as the atomic plane for the broader IBM On require architecture.

    In pattern 1-1 you can discern that the IBM software portfolio has really evolved into a collection of towering 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 wealthy set of services.

    Figure 1-1

    Figure 1-1 IBM Service Framework for an On require 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 enlarge 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 wealthy 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 share of the Lotus® suite of products that enhance collaboration and belief sharing across the enterprise and beyond. Products devotion Lotus Sametime® Connect can exist used for messaging and more.

    A number of services in the framework illustrated in pattern 1-1 are provided by the WebSphere® portfolio. For example, a product devotion WebSphere Integration Developer helps you define traffic process flows in the criterion traffic Process Execution Language (BPEL), which are used to implement process services that in circle attend you define, orchestrate, and automate traffic 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 notorious product of the WebSphere brand is the WebSphere Application Server that provides a runtime framework for J2EE®-based operations that are share of the Infrastructure Services component.

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

    The services shown to the privilege in pattern 1-2 are hierarchical in nature. In other words, as you work from bottom to top, the services provided become richer and more traffic oriented.

    For example, Master Data Management services are provided by the WebSphere Product center and WebSphere Customer center products. Master data are facts that picture your core traffic 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 finish result is a simplification of ongoing integration tasks and novel application development. This discipline addresses key issues such as data character 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 appropriate 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 seek to provide enterprises with ways to share, place, publish, cleanse, and enrich data found in the lower-level data management services. WebSphere Federation Server and its parent WebSphere Information Server are two such products that attend 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 appropriate into this tier, including DB2, Informix®, IBM Cloudscape™, U2, and IMS™.

    This engage 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 pattern 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, advert 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 avoid 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 devotion the RIM® Blackberry®, and more).

    The DB2 code ground is optimized for each platform to ensure maximum performance and integration. DB2 for Linux, UNIX, and Windows shares about a 98 percent common code ground with platform-specific optimizations at the operating system interface (OSI) plane (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 share 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 barnone 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 barnone 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 very 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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