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The Distributed Data Warehouse

The Distributed Data Warehouse. Types of Distributed Data Warehouse . Business is distributed geographically or over multiple, differing product lines. The data warehouse environment will hold a lot of data, and the volume of data will be distributed over multiple processors.

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The Distributed Data Warehouse

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  1. The Distributed Data Warehouse

  2. Types of Distributed Data Warehouse • Business is distributed geographically or over multiple, differing product lines. • The data warehouse environment will hold a lot of data, and the volume of data will be distributed over multiple processors. • The data warehouse environment grows up in a uncoordinated manner-first one data warehouse appears, then another

  3. Concerns for each type of Data Warehouse • The Local Data Warehouses • The Global Data Warehouses • Intersection of Global and Local data • Redundancy • Access of Local and Global Data • The Technologically Distributed Data Warehouse • The Independently Evolving Distributed Data Warehouse

  4. The Nature of the Development Efforts • Four possible meaning to “multiple groups building the data warehouse” • Completely unintegrated lines of business each with their own data warehouse • The same data warehouse but with distributed parts • Different levels of data within the same data warehouse • Different non-distributed parts of the detailed level of the data warehouse

  5. Distributed Data Warehouse Development • Coordinating Development across Distributed Locations • The Corporate Data Model – Distributed • Meta data in the Distributed Warehouse

  6. Building the Warehouse on Multiple Levels • Why using multiple levels ? • What is advantage of multi levels ? • Example

  7. Multiple Groups Building the Current Level of Detail • Different Requirements at different levels • Other types of detailed data

  8. Multiple Platforms for Common Detail Data • What is multiple platforms ? • Why using multiple platforms ? • What is advantage of multi platforms ?

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