Posts Tagged ‘ Data Warehousing ’

The Core Performance Fundamentals Of Oracle Data Warehousing – Parallel Execution

April 19, 2010
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The Core Performance Fundamentals Of Oracle Data Warehousing – Parallel Execution

Leveraging Oracle’s Parallel Execution (PX) in your Oracle data warehouse is probably the most important feature/technology one can use to speed up operations on large data sets.  PX is not, however, “go fast” magic pixi dust for any old operation (if thats what you think, you probably don’t understand the parallel...

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The Core Performance Fundamentals Of Oracle Data Warehousing – Partitioning

January 25, 2010
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Partitioning is an essential performance feature for an Oracle data warehouse because partition elimination (or partition pruning) generally results in the elimination of a significant amount of table data to be scanned. This results in a need for less system resources and improved query performance. Someone once told me “the fastest...

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The Core Performance Fundamentals Of Oracle Data Warehousing – Balanced Hardware Configuration

December 22, 2009
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The Core Performance Fundamentals Of Oracle Data Warehousing – Balanced Hardware Configuration

If you want to build a house that will stand the test of time, you need to build on a solid foundation. The same goes for architecting computer systems that run databases. If the underlying hardware is not sized appropriately it will likely lead to people blaming software. All too often...

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The Core Performance Fundamentals Of Oracle Data Warehousing – Introduction

December 14, 2009
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At the 2009 Oracle OpenWorld Unconference back in October I lead a chalk and talk session entitled The Core Performance Fundamentals Of Oracle Data Warehousing. Since this was a chalk and talk I spared the audience any powerpoint slides but I had several people request that make it into a presentation so they could...

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Database Customer Benchmarketing Reports

December 12, 2008
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Database Customer Benchmarketing Reports

A few weeks ago I read Curt Monash’s report on interpreting the results of data warehouse proofs-of-concept (POCs) and I have to say, I’m quite surprised that this topic hasn’t been covered more by analysts in the data warehousing space. I understand that analysts are not database performance engineers, but where do they think...

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