whitepaper

Amazon S3 cloud object stores provide an ideal platform for data lake storage. However, to meet the performance requirements of data consumers, data teams need to extract subsets of data from the data lake and replicate it in a data warehouse. This extra step adds cost, slows time to insight and undermines the very benefits that data lakes were meant to achieve.

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Read this whitepaper to learn:

  • About the elements required to build a modern architecture for business analytics
  • How a cloud data lake engine enables data teams to simplify their architecture and get maximum value from their cloud data lake investments
  • What's required for business analysts to achieve live, interactive analytics directly on an S3 data lake
  • How to find a balance between investments in a cloud data lake vs. data warehouse

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