In this chapter, we learned about the best practices of Hadoop MapReduce optimization. In order to improve the job performance of Hadoop, several recommendations and tips were presented in the form of checklists, which will help you to ensure that your Hadoop cluster is well configured and dimensioned.

This concludes our journey of learning to optimize and enhance our MapReduce job performance. I hope you have enjoyed it as much as I did. I encourage you to keep learning more about the topics covered in this book using the MapReduce published papers on Google, Hadoop's official website, and other sources on the Internet. Optimizing a MapReduce job is an iterative and repeatable process that you need to do before finding out its optimum performance. Also, I recommend that you try different techniques to figure out which tuning solutions are most efficient in the context of your job and try combining different optimization techniques!