By Philip Kromer,Russell Jurney
Finding styles in great occasion streams might be tough, yet studying how to define them doesn’t need to be. This specific hands-on advisor exhibits you ways to unravel this and lots of different difficulties in large-scale information processing with uncomplicated, enjoyable, and chic instruments that leverage Apache Hadoop. You’ll achieve a realistic, actionable view of huge info by way of operating with actual facts and actual problems.
Perfect for newcomers, this book’s procedure also will attract skilled practitioners who are looking to brush up on their talents. half I explains how Hadoop and MapReduce paintings, whereas half II covers many analytic styles you should use to procedure any info. As you're employed via a number of routines, you’ll additionally the way to use Apache Pig to procedure data.
- Learn the required mechanics of operating with Hadoop, together with how information and computation stream round the cluster
- Dive into map/reduce mechanics and construct your first map/reduce task in Python
- Understand easy methods to run chains of map/reduce jobs within the type of Pig scripts
- Use a real-world dataset—baseball functionality statistics—throughout the book
- Work with examples of a number of analytic styles, and examine while and the place chances are you'll use them
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