By Philip Kromer,Russell Jurney
Finding styles in substantial occasion streams may be tricky, yet studying how to define them doesn’t need to be. This detailed hands-on consultant indicates you the way to resolve this and lots of different difficulties in large-scale information processing with uncomplicated, enjoyable, and stylish instruments that leverage Apache Hadoop. You’ll achieve a realistic, actionable view of huge info through operating with actual facts and actual problems.
Perfect for novices, this book’s technique also will entice 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 approach any info. As you're employed via a number of routines, you’ll additionally the right way to use Apache Pig to procedure data.
- Learn the required mechanics of operating with Hadoop, together with how information and computation circulation round the cluster
- Dive into map/reduce mechanics and construct your first map/reduce task in Python
- Understand the right way 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 study while and the place it's possible you'll use them
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Big Data for Chimps: A Guide to Massive-Scale Data Processing in Practice by Philip Kromer,Russell Jurney