Big data for chimps / Philip Kromer and Russell Jurney.
By: Kromer, Philip [author.].
Contributor(s): Jurney, Russell.
Material type:
TextPublisher: NEW MUMBAI SHROFF PUBLISHERS AND DISTRIBUTORS+O' REILLY 2016Edition: First edition.Description: xv, 200 pages : illustrations ; 24 cm.ISBN: 9781491923948; 9789352132447.Other title: Big data for chimps : a guide to massive-scale data processing in practice [Cover title].Subject(s): Apache Hadoop | MapReduce (Computer file) | Apache Hadoop | MapReduce (Computer file) | Big data | Data mining | Pattern recognition systems | Electronic data processing | Business -- Data processing | Big data | Business -- Data processing | Data mining | Electronic data processing | Pattern recognition systemsDDC classification: 005.7 Summary: "Finding patterns in massive event streams can be difficult, but learning how to find them doesn'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. You'll gain a practical, actionable view of big data by working with real data and real problems. Perfect for beginners, this book'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, you'll also learn how to use Apache Pig to process data"--
| Item type | Current location | Collection | Call number | Status | Notes | Date due | Barcode |
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Books
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Symbiosis Centre for Information Technology ISSUABLE | Non-fiction | 005.7 (Browse shelf) | Available | 3685 DT 28-9-2017 | SCIT-B-10245 |
Includes index.
"Finding patterns in massive event streams can be difficult, but learning how to find them doesn'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. You'll gain a practical, actionable view of big data by working with real data and real problems. Perfect for beginners, this book'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, you'll also learn how to use Apache Pig to process data"--
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