"Our tailored course provided a well rounded introduction and also covered some intermediate level topics that we needed to know. Clive gave us some best practice ideas and tips to take away. Fast paced but the instructor never lost any of the delegates"
Brian Leek, Data Analyst, May 2022
Developers or Analysts creating Data Cubes
"Our tailored course provided a well rounded introduction and also covered some intermediate level topics that we needed to know. Clive gave us some best practice ideas and tips to take away. Fast paced but the instructor never lost any of the delegates"
Brian Leek, Data Analyst, May 2022
“JBI did a great job of customizing their syllabus to suit our business needs and also bringing our team up to speed on the current best practices. Our teams varied widely in terms of experience and the Instructor handled this particularly well - very impressive”
Brian F, Team Lead, RBS, Data Analysis Course, 20 April 2022
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This training course is led by industry experts who will show you how to build robust, industry-strength data cubes to efficiently access your corporate data.
An SSAS cube is a type of multidimensional matrix that lets users explore and analyse a collection of data from many different perspectives.
The main constituents of a cube are dimensions and measures. Dimensions define the structure of the cube that you use to slice and dice over, and measures provide aggregated numerical values of interest to the end-user.
As a logical structure, a cube allows you to retrieve values (or measures) as if they were contained in cells in the cube, where the cells are defined for every possible summarised value. A cell in the cube is defined by the intersection of dimension members and contains the aggregated values of the measures at that specific intersection.
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