Why Your Data Warehouse Needs a Data Lake

February 23, 2017

Complementing your existing enterprise data warehouse (DW) with a data lake can be a smart first step for speed and flexibility with big data.

Managed data lakes provide the flexibility, scalability and agility required by enterprises to manage the volume, types, and real-time availability of data that is generated today.

Learn how complementing your existing enterprise data warehouse (DW) with a data lake can be a smart first step for your company. It gives you more flexibility and speed in terms of data processing and capturing unstructured, semi-structured and streaming data, and frees up bandwidth in your data warehouse for business intelligence analytics. 

Highlights of this white paper include:

  • Key differences between data warehouses and data lakes 

  • Reference architectures for a data warehouse augmentation and offload with a data lake

  • Data warehouse augmentation case studies 

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