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Speeding ETL Processing in Data Warehouses
Staying competitive in today's real-time business world demands the capability to process ever-increasing volumes of data at lightning speed. One of the primary factors affecting data warehouse performance is the underlying physical distribution of the data in the databases, which must be consolidated in various ways. An inability to perform data intensive operations efficiently will inevitably impede business analyses and subsequent decision-making.
Various operations can be used to optimize data manipulation and thus accelerate data warehouse processes. This white paper discusses how two operations in particular --joins and aggregations -- play an integral role during preprocessing as well in manipulating and consolidating data in a data warehouse. Read this white paper to learn how you can save hours, even days, when processing large amounts of data for ETL, data warehousing, business intelligence (BI) and other mission critical applications.
- 19 Mar 2007
- 01 Mar 2007
- 11 Page(s)
- White Paper