22-25 April 2026 
SQLBits 2013
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.
Processing of SSAS OLAP databases can be a tricky business, particularly when it comes to incremental processing of dimensions. John will illuminate the dark interior of SSAS and describes how attribute relationships, aggregation design and different processing techniques can all have a positive or negative impact on your real-time cubes.
John will give you real life examples of why certain approaches work and others do not, describing some of the pitfalls of each approach.
At the end of the session, you should fully understand how to use ProcessUpdate and ProcessAdd to incrementally update dimension data and also various approaches to processing fact partitions including negation strategies.
John will give you real life examples of why certain approaches work and others do not, describing some of the pitfalls of each approach.
At the end of the session, you should fully understand how to use ProcessUpdate and ProcessAdd to incrementally update dimension data and also various approaches to processing fact partitions including negation strategies.
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.