Summary
Over the course of this chapter, we have dived deep into a few common use cases where Amazon EMR can be integrated for big data processing. We discussed how you can integrate Amazon EMR as a persistent or transient cluster and how you can use it for batch ETL, real-time streaming, interactive analytics, and ML and log analytics use cases. Each use case explained a reference architecture and a few recommendations around its implementation.
That concludes this chapter! Hopefully, you have got a good overview of different architecture patterns around Amazon EMR and are ready to dive deep into different Hadoop interfaces and EMR Studio in the next chapter.
