Big data architectures and the data lake by James Serra

6:30 P.M. - Socializing/gathering + Important announcements/discussions

7:00 P.M. - Main Session.
Big data architectures and the data lake by James Serra
With so many new technologies it can get confusing on the best approach to building a big data architecture. The data lake is a great new concept, usually built in Hadoop, but what exactly is it and how does it fit in? In this presentation I’ll discuss the four most common patterns in big data production implementations, the top-down vs bottoms-up approach to analytics, and how you can use a data lake and a RDBMS data warehouse together. We will go into detail on the characteristics of a data lake and its benefits, and how you still need to perform the same data governance tasks in a data lake as you do in a data warehouse. Come to this presentation to make sure your data lake does not turn into a data swamp!

James is a big data and data warehousing solution architect at Microsoft. He is a thought leader in the use and application of Big Data and advanced analytics. Previously he was an independent consultant working as a Data Warehouse/Business Intelligence architect and developer. He is a prior SQL Server MVP with over 25 years of IT experience. James is a popular blogger (JamesSerra.com) and speaker. He is the author of the book “Reporting with Microsoft SQL Server 2012”.