By Philip Kromer,Russell Jurney
Finding styles in substantial occasion streams will be tough, yet studying how to define them doesn’t need to be. This precise hands-on consultant indicates you ways to resolve 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 facts through operating with actual info and genuine problems.
Perfect for rookies, this book’s process 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 numerous workouts, you’ll additionally how to use Apache Pig to method data.
- Learn the required mechanics of operating with Hadoop, together with how info and computation circulate round the cluster
- Dive into map/reduce mechanics and construct your first map/reduce task in Python
- Understand the best 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 numerous analytic styles, and examine whilst and the place you could use them
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