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An Overview of Data Warehousing and OLAP Technology
An Overview of Data Warehousing and OLAP Technology

... source data to correspondingly update the base data and derived data stored in the warehouse. There are two sets of issues to consider: when to refresh, and how to refresh. Usually, the warehouse is refreshed periodically. Only if some OLAP queries need current data, is it necessary to propagate eve ...
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... that are stored for each row in the column. Mapping the original form of the data to a “token”, and storing the column as a list of these tokens requires much less storage space and yet, to the application, is totally transparent. For example, instead of maintaining copies of city name values in add ...
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...  Data in one system needs to be checked for consistency  Typical situations include unintended partial deletion of data by coding errors (e.g. only header data) or bad quality of master data (e.g. accidental non-execution of transformation reports) Goal Comparison of two tables to detect missing t ...
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... with very important insights into how they think about the business, as well as tell us what measurement units are important for them. Managers think of the business in terms of how they want to measure it. These measurements are the facts that indicate to the users how their departments are doing i ...
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... companies’ strategy and possible future developments, products, and/or platform directions and functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason without notice. The information in this document is not a commitment, promise, or ...
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