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Open source column based data warehouses for affordable high performance data mining

This is a discussion on Open source column based data warehouses for affordable high performance data mining within the Presentation News Feeds forums, part of the Presentation category; What analyst or marketer hasn't at some stage been frustrated by the excruciatingly slow data crunching speeds of flat Excel files or standard transactional row based databases such as MySQL ...


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Old 14th March 2010, 05:00 PM   #1
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Post Open source column based data warehouses for affordable high performance data mining


What analyst or marketer hasn't at some stage been frustrated by the excruciatingly slow data crunching speeds of flat Excel files or standard transactional row based databases such as MySQL when trying to analyse large sets of data? Some of you might have been able to afford professional data warehouse solutions and the necessary hardware to increase performance but the majority probably not.

Well, the arrival of open source column based data warehouse solutions is going to change all that and make professional high speed data mining affordable for small to medium size businesses. All analysts and marketers are now able to build enterprise grade data warehousing platforms in order to develop single customer views or to create powerful business intelligence platforms.

Check out the articles and graphs below to find out more about column based databases in general, how they work and how much faster they are compared to even enterprise grade systems on high performance hardware.

Email Chris at cbartens@datalicious.com if you would like to explore how Datalicious could help your company to set-up a single customer view or business intelligence data warehouse.

MySQL: Why should I check out a MySQL-based column database?


http://dev.mysql.com/tech-resources/...-database.html



Wikipedia: Column orientated database management systems
http://en.wikipedia.org/wiki/Column-oriented_DBMS
See and download the full gallery on posterous




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