Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Enterprise Information Integration


Published on

This about Enterprise Information Integration, A tool for analysis

Published in: Technology
  • Be the first to comment

  • Be the first to like this

Enterprise Information Integration

  1. 1. Enterprise Information Integration By Sharbani Bhattacharya 03 October 2008
  2. 2. Enterprise Information Integration <ul><li>Enterprise Information Integration or EII , is a process of information integration , using data abstraction to provide a single interface (known as uniform data access ) for viewing all the data within an organization, and a single set of structures and naming conventions (known as uniform information representation ) to represent this data; the goal of EII is to get a large set of heterogeneous data sources to appear to a user or system as a single, homogeneous data source. </li></ul>
  3. 3. EII Challenges <ul><li>Data within an enterprise can be stored in various formats, including </li></ul><ul><li>Relational Databases (which themselves come in a large number of varieties), </li></ul><ul><li>Text files, </li></ul><ul><li>XML files, </li></ul><ul><li>Spreadsheets and a variety of proprietary storage methods, each with their own indexing and data access methods. </li></ul>
  4. 4. Data Access Technologies <ul><li>ADO.NET </li></ul><ul><li>JDBC </li></ul><ul><li>ODBC </li></ul><ul><li>OLE DB </li></ul><ul><li>XQuery </li></ul><ul><li>Service Data Objects (SDO) for Java, C++ and .Net clients and any type of data source </li></ul>
  5. 5. EII Architecture
  6. 6. EII Characteristics <ul><li>Support for a variety of data sources, including relational database management systems (DBMSs), non-relational DBMSs, files, XML documents, and others </li></ul><ul><li>SQL-based API </li></ul><ul><li>Ability to join, union, aggregate, and otherwise correlate data from multiple sources in a single query </li></ul><ul><li>Ability to create individual views or virtual data objects based on data integrated from multiple sources </li></ul><ul><li>Location transparency </li></ul><ul><li>Automatic data type conversion services </li></ul><ul><li>Real-time programming model </li></ul>
  7. 7. Data Integration vs. Information Integration <ul><li>Some of the emerging EII tools will handle both structured and unstructured information. </li></ul><ul><li>Provide metadata management solutions in more open repositories. </li></ul><ul><li>EII is fast becoming the part of the infrastructure that manages the information across the enterprise. </li></ul>
  8. 8. Information Integration Solutions <ul><li>Creating a single view of a customer or other business entity </li></ul><ul><li>Enterprise data inventory and management </li></ul><ul><li>Real-time reporting and analysis, and creating management dashboards </li></ul><ul><li>Updating a data warehouse </li></ul><ul><li>Creating a virtual data warehouse </li></ul><ul><li>Updating common information across information sources </li></ul><ul><li>Creating portal applications containing both structured and unstructured data from disparate systems </li></ul><ul><li>Integrating unstructured data, including documents, audio, video and other electronic media, into applications. </li></ul><ul><li>Providing an infrastructure for enterprise information management, including all forms of digital me </li></ul>
  9. 9. EII <ul><li>The workhorse of data integration has been ETL tools. They were created to e xtract the information, t ransform it into a consolidated view, and then l oad it into a data warehouse in a batch mode </li></ul>
  10. 10. Best Practices for Information Integration <ul><li>Conduct design reviews </li></ul><ul><li>Create an enterprise metadata repository </li></ul><ul><li>Manage metadata at an enterprise level </li></ul><ul><li>Move toward semantically rich metadata </li></ul>
  11. 11. EII And Applications <ul><li>EII for Banking </li></ul><ul><li>EII for Capital Markets </li></ul><ul><li>EII for Life Sciences </li></ul><ul><li>EII for Corporate Performance Dashboards </li></ul><ul><li>EII for Business Intelligence and Reporting </li></ul><ul><li>EII for Single Customer View </li></ul>
  12. 12. Commercial Implementations <ul><li>WebSphere Studio Application Developer </li></ul><ul><li>WebSphere Information Integrator </li></ul>
  13. 13. WebSphere Information Integrator federated database architecture
  14. 14. The SDO and EII architecture Enables <ul><li>Reach a wider variety of data sources immediately with SDO applications, including mainframe data sources, industry-specific data sources, and data managed by popular third party application packages, such as SAP, PeopleSoft, and Siebel </li></ul><ul><li>Reduce design, development, and maintenance complexity by employing fewer data mediator services and fewer data source connections </li></ul><ul><li>Shorten development cycles and promote rapid release schedules </li></ul><ul><li>Minimize performance tuning of data access tasks. WebSphere Information Integrator automatically analyzes the costs of various possible data access strategies and selects an efficient one for execution. </li></ul><ul><li>Automatically adjust execution strategy to accomodate changes in underlying database schemas, such as the addition of new indexes. </li></ul><ul><li>Eliminate the need for calling applications to manually aggregate, summarize or convert data (WebSphere Information Integrator handles all of the above) </li></ul><ul><li>Reduce network traffic and resource consumption. Greater amounts of data integration and filtering work can be performed by the WebSphere Information Integrator server and back-end data sources rather than within SDO applications. </li></ul><ul><li>Support SOA, promote code reuse, enhance programming productivity, and contribute to a more flexible software environment with the virtual data access services layer </li></ul>
  15. 15. <ul><li>VOTE OF THANKS </li></ul>