| Description |
1 online resource (1 volume) : illustrations |
| Note |
Includes index. |
| Summary |
Hadoop in Practice, Second Edition provides over 100 tested, instantly useful techniques that will help you conquer big data, using Hadoop. This revised new edition covers changes and new features in the Hadoop core architecture, including MapReduce 2. Brand new chapters cover YARN and integrating Kafka, Impala, and Spark SQL with Hadoop. You'll also get new and updated techniques for Flume, Sqoop, and Mahout, all of which have seen major new versions recently. In short, this is the most practical, up-to-date coverage of Hadoop available anywhere. |
| Contents |
Part 1: Background and fundamentals -- Part 2: Data logistics -- Part 3: Big data patterns -- Part 4: Beyond MapReduce -- appendix: Installing Hadoop and friends -- index. |
| Subject |
Apache Hadoop.
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Apache Hadoop |
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File organization (Computer science)
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Electronic data processing -- Distributed processing.
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Fichiers (Informatique) -- Organisation. |
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Traitement réparti. |
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Electronic data processing -- Distributed processing |
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File organization (Computer science) |
| Other Form: |
Print version: Holmes, Alex, 1974- Hadoop in practice. Second edition. Shelter Island, NY : Manning, [2014] 1617292222 (OCoLC)884480814 |
| ISBN |
1617292222 |
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9781617292224 |
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