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Modernize your legacy databases with AWS data lakes, Part 3: Build a data lake processing layer

Big Data Blog

This article provides guidance on building a data lake processing layer using Amazon Redshift Spectrum to create data marts for consumption. It is the final part of a three-part series on modernizing legacy databases with AWS data lakes.

Specifically, the article covers:

  • Setting up a Redshift cluster to use Redshift Spectrum for querying Iceberg data stored in Amazon S3
  • Creating a data mart by defining a view in Redshift to aggregate and transform data from the silver layer
  • Querying the data mart using the Redshift Data API with a Python Lambda function
  • Best practices and considerations for building the data lake processing layer
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