Speaker(s):  Marco Russo 

Duration: 60 minutes

Track: Strategy and Architecture

The recent introduction of new technologies such as PowerPivot, the BI Semantic Model, and columnstore indexes in SQL Server and advances in self-service business intelligence and big data might be considered threats to the classic data warehouse ecosystem. In reality, a good data warehouse is still the best starting point for any kind of analysis, but we do need to update our strategy for data warehouse implementation to fit the requirements of this new era.
This session will start the conversation about what a modern strategy for data warehousing can and should be. What type of data modeling should we use for the data warehouse? What is the role of data marts? Does the use of technologies such as PowerPivot or Analysis Services Tabular affect the way we should model our data? Do columnstore indexes remove the need for an analytical server like Analysis Services? We will discuss these and other questions, offering an updated approach to the data warehouse modeling methodology.