Summary

In this chapter, we covered a major topic around data processing in the modern data architecture journey. We looked at how you can use Amazon EMR to solve many big-data processing use cases. EMR provides a fully managed platform for many open source projects, including the most popular ones—Spark, Hive, and Presto. We also revisited AWS Glue and looked at how Glue Studio assists data engineers in creating complex ETL jobs for data processing. We also covered a Glue streaming use case and how it complements the other streaming services that AWS provides. Finally, we looked at AWS Glue DataBrew and how it assists data scientists and data analysts to quickly profile data and apply data processing rules in an intuitive manner.

There are many more use cases that can be solved using some of these services, but at least what we covered in this chapter gives a basic understanding of solving typical use cases for these services. As always, the best way to learn is to be hands...