Comments on: Oracle Spells Out Flaw in Its Core Data Management System http://arnoldit.com/wordpress/2009/09/27/oracle-spells-out-flaw-in-its-core-data-management-system/ by Stephen E. Arnold Mon, 22 Mar 2010 06:30:16 +0000 http://wordpress.org/?v=2.9 hourly 1 By: Stephen E. Arnold http://arnoldit.com/wordpress/2009/09/27/oracle-spells-out-flaw-in-its-core-data-management-system/comment-page-1/#comment-71696 Stephen E. Arnold Fri, 02 Oct 2009 01:24:18 +0000 http://arnoldit.com/wordpress/?p=8709#comment-71696 Eric Rogge, Thanks for the info. Stephen Arnold, October 1, 2009 Eric Rogge,

Thanks for the info.

Stephen Arnold, October 1, 2009

]]> By: Eric Rogge http://arnoldit.com/wordpress/2009/09/27/oracle-spells-out-flaw-in-its-core-data-management-system/comment-page-1/#comment-71632 Eric Rogge Thu, 01 Oct 2009 16:35:11 +0000 http://arnoldit.com/wordpress/?p=8709#comment-71632 Hey Steve, I spent a number of years implementing BI and reporting tools against SQL databases. The usual drill would be spend a few hours creating the report or view. Spend the next week or more tuning the SQL database with the hope that the user community wouldn't crush the server. Test. Decide the hardware didn't scale. Buy more hardware. Rinse. Repeat. Reset user expectations. The problem with relational databases as that joins occur at query time. Row-oriented storage makes this worse. Not a great design for analytic queries. The OLAP option and Materialized Views are a bag on the side of the box. Faster, but difficult to mutate as analytic needs and data sets change. Definitely job security for those involved. My $.02. Hey Steve,
I spent a number of years implementing BI and reporting tools against SQL databases. The usual drill would be spend a few hours creating the report or view. Spend the next week or more tuning the SQL database with the hope that the user community wouldn’t crush the server. Test. Decide the hardware didn’t scale. Buy more hardware. Rinse. Repeat. Reset user expectations. The problem with relational databases as that joins occur at query time. Row-oriented storage makes this worse. Not a great design for analytic queries. The OLAP option and Materialized Views are a bag on the side of the box. Faster, but difficult to mutate as analytic needs and data sets change. Definitely job security for those involved. My $.02.

]]> By: Dave Menninger http://arnoldit.com/wordpress/2009/09/27/oracle-spells-out-flaw-in-its-core-data-management-system/comment-page-1/#comment-71112 Dave Menninger Mon, 28 Sep 2009 13:56:00 +0000 http://arnoldit.com/wordpress/?p=8709#comment-71112 I/O is clearly a bottleneck for data warehousing applications. You can either solve it through "more exotic hardware" as you say or use software designed to reduce the amount of I/O dramatically. Columnar databases, such as do just that. Dave I/O is clearly a bottleneck for data warehousing applications. You can either solve it through “more exotic hardware” as you say or use software designed to reduce the amount of I/O dramatically. Columnar databases, such as do just that.

Dave

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