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Aggregations - Course OLAP with open source tools - Part 12 | SQL courses

One of the main issues with OLAP technology, particularly when browsing a data cube, is the performance.

Duration: 17:54 min 


Summary: One of the main issues with OLAP technology, particularly when browsing a data cube, is the performance. To speed up the performance it is necessary to rely on some type of pre-calculated values, such as aggregations. This video shows how aggregations are handled in Mondrian and explain how to create a aggregate table, how to insert the correct that on it and how to specify in the schema that a cube must use this aggregation table to speed up cube browsing.


Technologies: Windows 7, Java, Mondrian, JPivot, MySQL, Apache Tomcat


Examples constructed: The video shows how to work with aggregations in Mondrina


Keywords: OLAP, Cube, Mondrian, JPivot, Open Source, performance, speed,



Mauro Pichiliani has the Master of Science degree on collaborative systems by the Aeronatics Institute of Technology (ITA) in Brazil. He is a specialist on database technologies with more than 8 years of experience on the industry...

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