Chapter 3: S3, RDS, DynamoDB, and Redshift for Data Engineering
Book: Data Engineering with AWS: A Comprehensive Guide to Building Robust Data Pipelines
Author: Brian Paul
ISBN: Not listed in the source edition
Book: Data Engineering with AWS: A Comprehensive Guide to Building Robust Data Pipelines
Author: Brian Paul
ISBN: Not listed in the source edition
In Part 1 we covered how data gets into AWS. Now comes the good part: what do you actually do with it once it is there? This post covers the services for transforming raw data, orchestrating multi-step pipelines, and letting people query and visualize the results.