Data Modeling for Analysis Services Cubes
Analysis Services OLAP cubes provide an incredibly powerful platform for the analysis and reporting of complex data. Unfortunately we often find that our source data is not in the right structure to make the best use of the cube’s power. This limits the cube’s functionality, compromises performance and complicates the reports.
In this session we’ll look at a number of different data scenarios that we encounter and explore ways of remodelling the data to optimise it for cubes and MDX. We’ll see how adding functionality into the ETL layer can have a dramatic effect on the functionality and simplicity of the cube.
Alex is a Data Platform MVP and is the owner and lead consultant at Purple Frog, a SQL Server Business Intelligence consultancy in the UK. He specialises in dimensional data modelling, data warehouse design, ETL systems, OLAP cubes, MDX and DAX using the SQL Server stack.
Alex has an MSc in Business Intelligence, runs the Midlands SQL Server User Group and the Birmingham SQL Relay conferences, and is on the SQL Bits committee.
As well as speaking at SQLBits, he is also a regular speaker at other events including SQL Saturday, SQL Relay, PASS Summit, 24 HOP and SQL Server user groups around Europe.