Until recently, enterprises wanting to derive operational value from data stored in cloud data lakes still had to move the data into cumbersome, expensive data warehouses and data marts, then layer on time-consuming cubes, extracts and aggregations. That’s because existing query engines lack the query acceleration and semantic layer needed to make business intelligence (BI) work directly on cloud data lake storage. But now you can enjoy all of the benefits cloud data lake storage has to offer by empowering your cloud data lake to support the majority of your analytics workloads.


Read this eBook to learn how to:

  • limit—and even eliminate—moving data from your data lake into a data warehouse;
  • reduce your dependence on related data warehousing elements, like data marts, cubes, extracts and aggregation tables; and
  • provide live, interactive and efficient query performance to BI users and other data consumers.