Summary
Over the course of this chapter, we got an overview of the Hadoop ecosystem and EMR and learned about its benefits and the problem statement it solves.
After covering those topics, we got an overview of other AWS services that integrate with EMR to build an end-to-end AWS cloud-native architecture. We followed that with a discussion of the Lake House architecture and EMR releases.
Finally, we covered how EMR compares with other Spark-based AWS services, such as AWS Glue and AWS Glue DataBrew, and how to choose the right service for your use case.
That concludes this chapter! Hopefully, you have got a good overview of Amazon EMR and are now ready to dive deep into its architecture and deployment options, which will be covered in the next chapter.
