Diseño fisico particiones_3
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Diseño fisico particiones

Diseño fisico particiones

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Diseño fisico particiones_3 Presentation Transcript

  • 1. DATA WAREHOUSINGPhysical Design
  • 2. 2
  • 3.  Using partitioned tables instead of nonpartitioned ones addresses the key problem of supporting very large data volumes by allowing you to divide them into smaller and more manageable pieces.
  • 4.  The main design criterion for partitioning is manageability, though you will also see performance benefits in most cases because of partition pruning or intelligent parallel processing.
  • 5.  For example, you might choose a partitioning strategy based on a sales transaction date and a monthly granularity.
  • 6.  If you have four years worth of data, you can delete a months data as it becomes older than four years with a single, fast DDL statement and load new data while only affecting 1/48th of the complete table.  Business questions regarding the last quarter will only affect three months, which is equivalent to three partitions, or 3/48ths of the total volume.
  • 7.  Partitioning large tables improves performance because each partitioned piece is more manageable. Typically, you partition based on transaction dates in a data warehouse.  For example, each month, one months worth of data can be assigned its own partition.