Editor’s note: This blog post does not cover Exadata Hybrid Columnar Compression. The first thing that comes to most people’s mind when database table compression is mentioned is the savings it yields in terms of disk space. While reducing the footprint of data on disk is relevant, I would argue it...
Posts Tagged ‘ data warehouse ’
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...
The Core Performance Fundamentals Of Oracle Data Warehousing – Introduction
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...
Facebook: Hive – A Petabyte Scale Data Warehouse Using Hadoop
Today, June 10th, marks the Yahoo! Hadoop Summit ’09 and the crew at Facebook have a writeup on the Facebook Engineering page entitled: Hive – A Petabyte Scale Data Warehouse Using Hadoop. I found this an very interesting read given some of the Hadoop/MapReduce comments from David J. DeWitt and Michael Stonebraker as well...
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...