Info sphere overview


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  • Info sphere overview

    1. 1. DOC IDIBM® InfoSphere®Information Server 8.1An OverviewBHAWANI NANDAN PRASADSMP - IIM Calcutta & MBA - STRATFORD UNIVERSITY USA, M.TECH. IT
    2. 2. DOC IDIBM® InfoSphere Information Server ComponentsIBM® InfoSphere Information Server 8.1 and itscomponents:-- IBM Information Server Console-- IBM Metadata Workbench-- IBM Business Glossary (BG)-- IBM Business Glossary Anywhere-- IBM MetaBrokers and bridges-- IBM DataStage & QualityStage-- IBM Information Analyzer-- IBM Information Server FastTrack-- IBM Information Services Director2
    3. 3. DOC IDProduct framework & History•IBM® Information Server combines the technologies of previous slide components into a single unified platform thatenables companies to understand, cleanse, transform, and deliver trustworthy and context-rich information.Product Name Product HistoryInformation Server SharedServicesNewFastTrack NewMetadata Workbench MetaStage & Unicorn semantic metadata toolsBusiness Glossary (BG) MetaStage Reporting toolBusiness Glossary Anywhere MetaStage Reporting toolDataStage & QualityStage DataStage & QualityStageInformation Analyzer AuditStage & ProfileStageInformation Services Director RTI /SOA3
    4. 4. DOC IDInfoSphere Information Server high-level architecture4
    5. 5. DOC IDInfosphere – Shared Services•InfoSphere provides extensive administrative and reporting facilities that use sharedservices and a Web application that offers a common look and feel for alladministrative and reporting tasks.•Administrative Services• Security administration• Licensing administration• Scheduling administration• Logging administration•Reporting Services•Reporting services manage run time and administrative aspects of reporting for IBMInformation Server. You can create product-specific reports for DataStage,QualityStage, and Information Analyzer, and cross-product reports for logging,monitoring, scheduling, and security services. All reporting tasks are set up and runfrom a single interface, the IBM Information Server Web console. You can retrieve andview reports and schedule reports to run at a specific time and frequency.5
    6. 6. DOC IDMetadata services•By using metadata services, you can access data and do data integration tasks such as analysis, modeling,cleansing, and transformation.•Metadata services components-- Metadata Server• -- Metadata Workbench-- Business Glossary (BG)-- Business Glossary Anywhere-- MetaBrokers and bridges6
    7. 7. DOC IDMetadata Server•It holds the metadata for all products on Information server. It is made up of thedatabase repository, the software domain layer that lets applications access therepository and a browser console for administering the Metadata Server.•The Metadata server has some HTML reporting capabilities but iscomplemented by the following metadata products:– The Metadata Workbench for advanced metadata reporting .– The Business Glossary for the management of metadata terms anddefinitions.– The metadata Import/Export tool for importing metadata throughbridges and brokers and exporting metadata through brokers.– One key advantage of Metadata server within IBM Information Server isthat it eliminates the need of other external resources for metadatamanagement and also improves project transparency across the projectimplementation roles.•Since all functions of IBM Information Server share common metadata artifacts,it provides an efficient collaboration environment for managing the completionof the project and drastically reducing downstream project delivery times.7
    8. 8. DOC IDMetadata Workbench•Metadata Workbench offers key metadata visualization and exploration capabilities, acting as a control station for metadata within Information Server.Users of the different product modules of Information Server can use IBM Metadata Workbench to view the metadata and the data assets in theInformation Server metadata repository.•It provides following services for Metadata Server•Traceability of information : You can trance information across tools, allowing data elements in reports to be traced back to their sources. This uniquecapability leverages a unique seamless view across design and operational metadata. (This is End-to-end data flow reporting)•Responsiveness to change : You can now easily understand the impact of any change to any piece of information across tools, showing which reports,services, or source/target databases will be impacted before a source/target data element is changed. (This is Impact Analysis / Dependency analysis of thedata assets)•Web-based visualization and navigation of metadata : This feature allows users to use the functionality without expensive client software installation. Italso allows for remote diagnosis and resolution of problems by IT teams.•Visual depiction of metadata relationships: The visual depiction of the metadata relationships of data lineage and impact analysis makes it easy to findand understand metadata relationships quickly and allows non-IT users to understand relationships easily.•Cross-tool impact analysis: This ensures that the complete impact of change beyond a single tool is understood very clearly before a change is made. Itmakes IT teams more responsive by reducing the analysis time required before making changes to multiple systems.•Cross-tool data lineage: This provides an understanding of the complete lineage path of information, including its source, its relations, its destinations,what happened to it along the way. This enables business personnel to understand the origins of the information and easies to troubleshoot wheneverproblem arises to maximize the value of your IT investments, take advantage of the scalability, security, manageability and reliability of the mainframe andalso add mainframe information integration work load•Metadata Stitching: This automatically connects design and operational metadata elements together to form relationships and ensures a completeunderstanding of information. It provides IT with the tools to ensure consistency in the metadata view.•Links business terms to technical information: The reporting aspect links the business terms to the technical information and thus ensures a betterunderstanding and collaboration between business and IT. Thus it removes barriers between teams to speed project development times.8
    9. 9. DOC IDBusiness Glossary (BG)•Business Glossary gives you the tools that you need to author and to manage the metadata in the metadata repository.•Metadata in the metadata repository includes terms, categories, and information assets such as database tables,database columns, schemas, and jobs. Business Glossary provides a Web-based tool to edit, browse, search, andcustomize metadata in the metadata repository. The business glossary is the interface between the business user andthe metadata repository.•Business Glossary helps you with the following business tasks:– Develop a common vocabulary between business and technology• A common vocabulary gives diverse users a common meaning of data.– Find business information from metadata• You can get the meaning of the data, its lineage, and who is responsible for defining and producing the data– Provide data stewardship• You can assign a person or group to information assets to manage the data through its life cycle9
    10. 10. DOC IDBusiness Glossary Anywhere•Business Glossary Anywhere provides instant access to your business terminology from any desktop application.•It helps you to find business information from any text-based document, Web page, or e-mail.•You can access Business Glossary Anywhere from any desktop application by clicking on a term and viewing its businessdefinition in a new window with no loss of context or focus. You can get the meaning of the data, its lineage, and theperson who defined and produces the data.•You do not need to log in to IBM Information Server and form a query.10
    11. 11. DOC IDBusiness Glossary (BG) Overview11
    12. 12. DOC IDDataStage and QualityStage•DataStage and QualityStage provides a graphical framework that you use to design and run the jobs that transform andcleanse your data.•QualityStage includes a set of stages, a match Designer, and related files that provide a development environmentwithin the DataStage and QualityStage Designer for building jobs to cleanse data. This environment lets you test yourmatching and blocking strategies before running match jobs, and lets you manage and edit rules.•The Designer client provides a common user interface in which you design your data quality jobs. In addition, you havethe power of the parallel processing engine to process large stores of source data.•The integrated stages available in the Repository provide the basis for accomplishing the following data cleansingtasks:– Resolving data conflicts and ambiguities– Uncovering new or hidden attributes from free-form or loosely controlled source columns– Conforming data by transforming data types into a standard format– Creating one unique result12
    13. 13. DOC IDQualityStage•You can access all the QualityStage stages in the Data Quality group in the palette. Stages available are:• Investigate stage• Standardize stage• Match Frequency stage• Unduplicate Match stage• Reference Match stage• Survive stage13
    14. 14. DOC IDInformation Analyzer•Information analyzer is used to understand the content, structure, and overall quality of your data at a given point intime. This analysis aids you in understanding the inputs to your integration process, ranging from individual fields tohigh-level data entities. Information analysis enables you to correct problems with structure or validity before theyaffect your project.•Information analyzer is used to understand the content, structure, and overall quality of your data at a given point intime.•This analysis aids you in :– Understanding The inputs to your integration process, ranging from individual fields to high-level data entities.– Correcting problems with structure or validity before they affect your project.– Improving the accuracy of your data by making inferences and identifying anomalies.– Analyzing columns.– Identifying primary keys.– Identifying foreign keys.– Locating overlapping data across domains.– Identifying changes in your data over time.– Managing tables.14
    15. 15. DOC IDFastTrack•FastTrack helps translate your business requirements into business applications.•FastTrack accelerates the design time to create source-to-target mappings and to automatically generate jobs.•Leveraging metadata integration, FastTrack enables you to discover table column relationships, to link columns tobusiness glossary terms, and to generate jobs that become the starting point for complex data transformation inDataStage and QualityStage Designer. Source-to-target mappings can contain data value transformations that, as partof specifications, define how to build applications.15
    16. 16. DOC IDInformation Services Director•Information Services Director provides a unified and consistent way to publish and manage shared informationservices. Using Information Services Director, information specialists can design and deploy reusable informationintegration tasks including data cleansing, data transformation, and data federation services.•It allows units from any of the suite components to be deployed as Web services (For SOA and RTI) or Enterprise JavaBeans (EJBs).•It load balances service requests across multiple IBM Information Server nodes, to ensure smooth pickup of loadspikes, and to ensure fault tolerance and high availability. It provides the following key capabilities:• Packaging information integration logic as services that insulate developers from underlying sources• Allowing these services to be invoked as EJBs or Web services• Provides REST access to services using the XML or JSON format• Exposing services as RSS feeds• Using the JMS transport method for asynchronous access to service responses• Providing load balancing and fault tolerance for requests across multiple servers• Providing foundation infrastructure for information services•The extensible architecture of WebSphere Information Services Director allows it to enable a broad range ofinformation management tasks such as data cleansing, data transformation, and data federation services.16
    17. 17. DOC ID•Thankyou !17