22-25 April 2026 
SQLBits 2011
Building a dynamic OLAP environment
This session will present the tools and techniques used to create OLAP cubes and supporting data marts on-the-fly from a mere set of data files and configuration metadata.
You will have heard of (and hopefully used) dynamic SQL; but dynamic OLAP?
Often end-users demand that extra attributes are added to the cube to meet their own specific analysis needs. This is particularly true when you are selling market data where each client demands their own cube with their own set of attributes. Building several hundred OLAP databases per day, each with its own unique set of data and attributes becomes a tall order unless the process is automated.
This session will present the tools and techniques used to create fully functional OLAP data marts on-the-fly from a mere set of data files and configuration metadata.
Speakers
Dr John Tunnicliffe's previous sessions
DevOps, CI and the Data Warehouse
DevOps and continuous integration provide huge benefits to data warehouse development. John will be showing how you can use VSTS and Octopus Deploy to build, test and deploy your data warehouse
Designing a database to best support multidimensional OLAP
Data warehouse designers often ignore the specific needs of an OLAP database. In this session, John will outline the best ways to optimise your relational database to support your multidimensional OLAP cubes
Incremental processing of SSAS Multidimensional databases
Processing of SSAS OLAP databases can be a tricky business, particularly when it comes to incremental processing of dimensions. John will give you real life examples of why certain approaches work and others do not.
Building an infrastructure to support real-time OLAP
Users love flexible analytics but hate to wait for the data to be loaded into a traditional data warehouse. John will describe how to build an infrastructure to support real-time loading of your OLAP cubes so your user's get exactly what they want
Building a dynamic OLAP environment
This session will present the tools and techniques used to create OLAP cubes and supporting data marts on-the-fly from a mere set of data files and configuration metadata.