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Lecture 09  - Migration to the Architected Environment
Lecture 09  - Migration to the Architected Environment
Lecture 09  - Migration to the Architected Environment
Lecture 09  - Migration to the Architected Environment
Lecture 09  - Migration to the Architected Environment
Lecture 09  - Migration to the Architected Environment
Lecture 09  - Migration to the Architected Environment
Lecture 09  - Migration to the Architected Environment
Lecture 09  - Migration to the Architected Environment
Lecture 09  - Migration to the Architected Environment
Lecture 09  - Migration to the Architected Environment
Lecture 09  - Migration to the Architected Environment
Lecture 09  - Migration to the Architected Environment
Lecture 09  - Migration to the Architected Environment
Lecture 09  - Migration to the Architected Environment
Lecture 09  - Migration to the Architected Environment
Lecture 09  - Migration to the Architected Environment
Lecture 09  - Migration to the Architected Environment
Lecture 09  - Migration to the Architected Environment
Lecture 09  - Migration to the Architected Environment
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Lecture 09 - Migration to the Architected Environment

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Building the Data WareHouse

Building the Data WareHouse

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  • 1. Building Data WareHouseby InmonChapter 09: Migration to the Architected Environment http://it-slideshares.blogspot.com
  • 2. 9. Migration to the ArchitectedEnvironment 1. A Migration Plan 2. The Feedback Loop 3. Strategic Considerations 4. Methodology and Migration 5. Summary http://it-slideshares.blogspot.com
  • 3. 9.1 A Migration Plan Beginning point: Data Model - represents the information needs of the corporation. Data Model needs to identify at a minimum: ◦ Major subjects of the corporation ◦ Definition of the major subjects of the corporation ◦ Relationships between the major subjects ◦ Groupings of keys and attributes that more fully represent the major subjects
  • 4. 9.1 A Migration Plan (ct.) After having the corporate data model, the next activity is defining the system of record. It is nothing more than the identification of the “best” data that the corporation has: ◦ Most timely ◦ Most accurate ◦ Most complete ◦ Nearest to the external source ◦ Most structurally compatible
  • 5. 9.1 A Migration Plan (ct.)
  • 6. 9.1 A Migration Plan (ct.) Technological challenges in bringing the system-of-record data into the DW: ◦ A change in DBMS ◦ A change in operating systems ◦ The need to merge data from different DBMSs and operating systems ◦ The capture of the Web-based data in the Web logs ◦ A change in basic data formats
  • 7. 9.1 A Migration Plan (ct.) After the system of record is defined, the next step is to design the data warehouse. The following things need to be done: ◦ An element of time needs to be added to the key structure if one is not already present. ◦ All purely operational data needs to be eliminated. ◦ Referential integrity relationships need to be turned into artifacts. ◦ Derived data that is frequently needed is added to the design.
  • 8. 9.1 A Migration Plan (ct.)
  • 9. 9.1 A Migration Plan (ct.) After the data warehouse is designed, the next step is to design and build the interfaces between the system of record and the DW. Interfaces’ activities: ◦ Being an extract process ◦ Integration of data from the operational, application-oriented environment ◦ Alteration of the time basis of data ◦ Condensation of data ◦ Efficient scanning of the existing systems environment
  • 10. 9.1 A Migration Plan (ct.) Once the interface programs are designed and built, the next activity is to start the population of the first subject area: ◦ The first of the data is read in the legacy environment; and then it is captured and transported to the data warehouse environment. ◦ Directories are updated ◦ Metadata is created ◦ Indexes are made http://it-slideshares.blogspot.com
  • 11. 9.1 A Migration Plan (ct.) Caution: If you wait for existing systems to be cleaned up, you will never build a data warehouse
  • 12. 9.2 The Feedback Loop At the heart of success in the long-term development of the data warehouse is the feedback loop between the data architect and the DSS analyst. The DSS analyst: ◦ uses the data warehouse as a basis for analysis ◦ conveys those requirements to the data architect The data architect: ◦ add data, delete data, alter data, and so forth based on the recommendations of the DSS analyst http://it-slideshares.blogspot.com
  • 13. 9.2 The Feedback Loop(ct.) http://it-slideshares.blogspot.com
  • 14. 9.3 Strategic Considerations The DW environment is designed and built for the purpose of supporting the DSS needs of the organization. http://it-slideshares.blogspot.com
  • 15. 9.3 Strategic Considerations (ct.) Besides that, the corporation has operational needs as well. But the operational world is shown as being in a state of chaos. http://it-slideshares.blogspot.com
  • 16. 9.3 Strategic Considerations(ct.) The steps the data architect takes to restructure the operational environment: ◦ Create a ‘delta’ list ◦ The impact analysis ◦ Create the resource estimate ◦ All the preceding are packaged in a report that goes to information systems management. http://it-slideshares.blogspot.com
  • 17. 9.3 Strategic Considerations(ct.) Operation cleanup plan:
  • 18. 9.4 Methodology and Migration The methodology for the building of the data warehouse is called a spiral development methodology. The spiral methodology not only contains information about how to build a data warehouse, but also describes how to use the data warehouse. http://it-slideshares.blogspot.com
  • 19. 9.4 Methodology and Migration(ct.) The differences between the waterfall approach and the spiral approach:
  • 20. 9.5 Summary The starting point for the design of the data warehouse is the corporate data model,. The data warehouse is built iteratively. The development approach for the data warehouse environment is said to be an iterative or a spiral development approach. The feedback loop between the data architect and the end user is an important part of the migration process. http://it-slideshares.blogspot.com

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