http://www.dbms2.com/2007/03/16/data-warehouse-compression/ Choices in data management and analysis Sun, 20 Jul 2008 14:05:00 +0000 http://wordpress.org/?v=2.5.1 http://www.dbms2.com/2007/03/16/data-warehouse-compression/#comment-23044 DBMS2 — DataBase Management System Services»Blog Archive » Will database compression change the hardware game? Sun, 25 Mar 2007 19:16:49 +0000 http://www.dbms2.com/2007/03/16/data-warehouse-compression/#comment-23044 [...] I’ve recently made a lot of posts about database compression. 3X or more compression is rapidly becoming standard; 5X+ is coming soon as processor power increases; 10X or more is not unrealistic. True, this applies mainly to data warehouses, but that’s where the big database growth is happening. And new kinds of data — geospatial, telemetry, document, video, whatever — are highly compressible as well. [...] [...] I’ve recently made a lot of posts about database compression. 3X or more compression is rapidly becoming standard; 5X+ is coming soon as processor power increases; 10X or more is not unrealistic. True, this applies mainly to data warehouses, but that’s where the big database growth is happening. And new kinds of data — geospatial, telemetry, document, video, whatever — are highly compressible as well. [...]

]]> http://www.dbms2.com/2007/03/16/data-warehouse-compression/#comment-22642 DBMS2 — DataBase Management System Services»Blog Archive » Compression in columnar data stores Thu, 22 Mar 2007 04:38:33 +0000 http://www.dbms2.com/2007/03/16/data-warehouse-compression/#comment-22642 [...] column stores allow the processors to operate directly on compressed data. But once again, I don’t see why row stores can’t do that too. For example, when you join via bitmapped indices, exactly what you’re doing is operating on highly-compressed data.Want to continue getting great research about DBMS, analytics, and other technologies related to data management? Then subscribe to our feed, by RSS/Atom or e-mail! We recommend taking the integrated feed for all our blogs, but blog-specific ones are also easily available. • • • [...] [...] column stores allow the processors to operate directly on compressed data. But once again, I don’t see why row stores can’t do that too. For example, when you join via bitmapped indices, exactly what you’re doing is operating on highly-compressed data.Want to continue getting great research about DBMS, analytics, and other technologies related to data management? Then subscribe to our feed, by RSS/Atom or e-mail! We recommend taking the integrated feed for all our blogs, but blog-specific ones are also easily available. • • • [...]

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