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Description
Finding patterns in massive event streams can be difficult, but learning how to find them doesnâ t have to be. This unique hands-on guide shows you how to solve this and many other problems in large-scale data processing with simple, fun, and elegant tools that leverage Apache Hadoop. Youâ ll gain a practical, actionable view of big data by working with real data and real problems.
Perfect for beginners, this bookâ s approach will also appeal to experienced practitioners who want to brush up on their skills. Part I explains how Hadoop and MapReduce work, while Part II covers many analytic patterns you can use to process any data. As you work through several exercises, youâ ll also learn how to use Apache Pig to process data.
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Finding patterns in massive event streams can be difficult, but learning how to find them doesnâ t have to be. This unique hands-on guide shows you how to solve this and many other problems in large-scale data processing with simple, fun, and elegant tools that leverage Apache Hadoop. Youâ ll gain a practical, actionable view of big data by working with real data and real problems.
Perfect for beginners, this bookâ s approach will also appeal to experienced practitioners who want to brush up on their skills. Part I explains how Hadoop and MapReduce work, while Part II covers many analytic patterns you can use to process any data. As you work through several exercises, youâ ll also learn how to use Apache Pig to process data.
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