Summary
In this chapter, we saw the evolution of Hadoop and some of its milestones and releases. We went into depth on Hadoop 2.X and the changes it brings into Hadoop. The key takeaways from this chapter are:
- MapReduce was born out of the necessity to gather, process, and index data at web scale. Apache Hadoop is an open source distribution of the MapReduce computational model.
- In over 6 years of its existence, Hadoop has become the number one choice as a framework for massively parallel and distributed computing. The community has been shaping Hadoop to gear up for enterprise use. In 1.X releases, HDFS append and security, were the key features that made Hadoop enterprise-friendly.
- MapReduce supports a limited set of use cases. Onboarding other ...
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