Hadoop in practice

By: Holmes, AlexMaterial type: TextTextPublisher: New Delhi Dreamtech 2016Description: 487pISBN: 9789351197423Subject(s): OPEN SOURCE SOFTWARE | ELECTRONIC DATA PROCESSING- DISTRIBUTED PROCESSINGDDC classification: 005.7 HOL Summary: This book provides a collection of 104 tested, instantly useful techniques for analyzing real-time streams, moving data securely, machine learning, managing large-scale clusters and taming big data using Hadoop. This completely revised edition covers changes and new features in Hadoop core, including MapReduce 2 and YARN. You'll pick up hands-on best practices for integrating Spark, Kafka and Impala with Hadoop and get new and updated techniques for the latest versions of Flume, Sqoop and Mahout.
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This book provides a collection of 104 tested, instantly useful techniques for analyzing real-time streams, moving data securely, machine learning, managing large-scale clusters and taming big data using Hadoop. This completely revised edition covers changes and new features in Hadoop core, including MapReduce 2 and YARN. You'll pick up hands-on best practices for integrating Spark, Kafka and Impala with Hadoop and get new and updated techniques for the latest versions of Flume, Sqoop and Mahout.

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