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3 dw architectures

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Arquitectura DW

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The major components of a data warehousing process

Data sources

Data extraction

Data loading

Comprehensive database

Metadata

Middleware tools

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Three parts of the data warehouse

The data warehouse that contains the data and associated software

Data acquisition (back-end) software that extracts data from legacy systems and external sources, consolidates and summarizes them, and loads them into the data warehouse

Client (front-end) software that allows users to access and analyze data from the warehouse

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Architecture of a three-tier

data warehouse

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Architecture of a two tier data

warehouse

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Architecture of web based data warehousing.

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Issues to consider when deciding which architecture to use:

Which database management system (DBMS) should be used?

Will parallel processing and/or partitioning be used?

Will data migration tools be used to load the data warehouse?

What tools will be used to support data retrieval and analysis?

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Alternative Data Warehouse Architectures:

• EDW Architecture

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Alternative Data Warehouse Architectures:

• Data Mart Architecture

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Alternative Data Warehouse Architectures:

• Hub-and-Spoke Data Mart Architecture

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Alternative Data Warehouse Architectures:

• EDW and ODS (real time access support)

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Alternative Data Warehouse Architectures:

•Distributed Data Warehouse Architecture

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Alternative Architectures for Data Warehouse Efforts

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Teradata Corp.’s EDW

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1. Information interdependence between organizational units

2. Upper management’s information needs

3. Urgency of need for a data warehouse

4. Nature of end-user tasks

5. Constraints on resources 6. Strategic view of the data

warehouse prior to implementation

7. Compatibility with existing systems

8. Perceived ability of the in-house IT staff

9. Technical issues 10. Social/political factors

Ten factors that potentially affect the architecture selection

decision:

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DECISION SUPPORT SYSTEMS AND BUSINESS INTELLIGENCE. Turban

Modern Data Warehousing, Mining, and Visualization: Core Concepts. George M. Marakas

Modern Database Management.9th Edition.Jeffrey A. Hoffer, Mary B. Prescott, Heikki Topi