Summary
In this chapter, we covered all about Hadoop, starting from core frameworks to ecosystem components. At the end of this chapter, readers should be able to set up Hadoop and run some MapReduce functions. Users should be able to run and manage a Hadoop environment and understand the command line usage using one or more ecosystem component.
In the next chapter, our focus is on the key Machine learning frameworks such as Mahout, Python, R, Spark, and Julia; these either have inherent support on the Hadoop platform, or need direct integration with the Hadoop platform for supporting large datasets.
Get Practical Machine Learning now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
