whitepaper

SQL query accelerators can enable you to access data directly from your data lakes such as AWS S3 and Microsoft Azure ADLS. As data engineers, platform engineers, and data architects you can use analytics query engines to accelerate time to insights & value for your data consumers and LOB stakeholders. Going through an extensive selection criteria for data lake engines and SQL query accelerators, you need to see what will work for your business and in your environment. Essentially, a Proof of Concept (POC) test is in order. You need to test your most common use cases to most complex use cases to ensure a solution will deliver the BI and analytics results you need, while fitting your criteria for speed, performance, cost efficiency, and security & governance.

This POC guide focuses on:

  • Describing the POC project, stakeholders, timelines, and execution plan
  • BI and analytics use cases, capability support, success criteria, and capturing results
  • POC set up infrastructure, environment, and technical architecture

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