DW Design rina.pptx - Chapter 33 Data Warehousing What is a...

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Chapter 33 Data Warehousing
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What is a data warehouse? 2
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Why do we need a data warehouse? 3
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4 Data Warehousing Concepts A subject-oriented, integrated, time- variant, and non-volatile collection of data in support of management’s decision- making process (Inmon, 1993).
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5 Subject-oriented Data The warehouse is organized around the major subjects of the enterprise (e.g. customers, products, and sales) rather than the major application areas (e.g. customer invoicing, stock control, and product sales). This is reflected in the need to store decision-support data rather than application-oriented data.
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6 Integrated Data The data warehouse integrates corporate application-oriented data from different source systems, which often includes data that is inconsistent. The integrated data source must be made consistent to present a unified view of the data to the users.
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7 Time-variant Data Data in the warehouse is only accurate and valid at some point in time or over some time interval. Time-variance is also shown in the extended time that the data is held, the implicit or explicit association of time with all data, and the fact that the data represents a series of snapshots.
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8 Non-volatile Data Data in the warehouse is not normally updated in real-time (RT) but is refreshed from operational systems on a regular basis. (However, emerging trend is towards RT or near RT DWs) New data is always added as a supplement to the database, rather than a replacement.
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9 Benefits of Data Warehousing Potential high returns on investment Competitive advantage Increased productivity of corporate decision- makers
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10 Comparison of OLTP (Online Transactional Processing) Systems and Data Warehousing (OLAP – Online Analytical Processing) OLTP (online transaction processing) is a class of software programs capable of supporting transaction-oriented applications on the Internet. Typically, OLTP systems are used for order entry, financial transactions, customer relationship management (CRM) and retail sales.
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  • Fall '17
  • DR RAJA RINA

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