Part I. Introduction: Theory and Tools
In Chapters 1â4, weâll introduce you to the basics about Hadoop and MapReduce, and to the tools youâll be using to process data at scale using Hadoop.
Weâll start with an introduction to Hadoop and MapReduce, and then weâll dive into MapReduce and explain how it works. Next, weâll introduce you to our primary dataset: baseball statistics. Finally, weâll introduce you to Apache Pig, the tool we use to process data in the rest of the book.
In Part II, weâll move on to cover different analytic patterns that you can employ to process any data in any way needed.
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