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