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,