As a follow-up to my blog Is the traditional data warehouse dead?, I will be doing a webinar on that very topic tomorrow (March 27th) at 11am EST for the Agile Big Data Processing Summit that I hope you can join.  Details can be found here.  The abstract is:

Is the traditional data warehouse dead?

With new technologies such as Hive LLAP or Spark SQL, do you still need a data warehouse or can you just put everything in a data lake and report off of that? No! In the presentation, James will discuss why you still need a relational data warehouse and how to use a data lake and an RDBMS data warehouse to get the best of both worlds.

James will go into detail on the characteristics of a data lake and its benefits and why you still need data governance tasks in a data lake. He’ll also discuss using Hadoop as the data lake, data virtualization, and the need for OLAP in a big data solution, and he will put it all together by showing common big data architectures.