Remove 12 how-to-optimize-the-performance-of-aws-s3
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Build incremental data pipelines to load transactional data changes using AWS DMS, Delta 2.0, and Amazon EMR Serverless

AWS Big Data

A solution to this problem is to use AWS Database Migration Service (AWS DMS) for migrating historical and real-time transactional data into the data lake. We then apply transformations using Spark jobs on an EMR Serverless application and write transformed output into open-source Delta tables in Amazon S3.

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Simplify data loading into Type 2 slowly changing dimensions in Amazon Redshift

AWS Big Data

In this post, we show how to simplify data loading into a Type 2 slowly changing dimension in Amazon Redshift. Organizations create data marts , which are subsets of the data warehouse and usually oriented for gaining analytical insights specific to a business unit or team. The star schema is a popular data model for building data marts.