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In den Warenkorbpaperback. Zustand: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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In den WarenkorbPaperback. Zustand: Good. No Jacket. Former library book; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
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In den WarenkorbZustand: New.
Verlag: O'Reilly Media 10/22/2015, 2015
ISBN 10: 1491923946 ISBN 13: 9781491923948
Sprache: Englisch
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In den WarenkorbPaperback or Softback. Zustand: New. Big Data for Chimps: A Guide to Massive-Scale Data Processing in Practice. Book.
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In den WarenkorbZustand: New.
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In den WarenkorbPaperback. Zustand: New. 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. Learn the necessary mechanics of working with Hadoop, including how data and computation move around the cluster Dive into map/reduce mechanics and build your first map/reduce job in Python Understand how to run chains of map/reduce jobs in the form of Pig scripts Use a real-world dataset-baseball performance statistics-throughout the book Work with examples of several analytic patterns, and learn when and where you might use them.
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In den WarenkorbPaperback. Zustand: New. 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. Learn the necessary mechanics of working with Hadoop, including how data and computation move around the cluster Dive into map/reduce mechanics and build your first map/reduce job in Python Understand how to run chains of map/reduce jobs in the form of Pig scripts Use a real-world dataset-baseball performance statistics-throughout the book Work with examples of several analytic patterns, and learn when and where you might use them.
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In den WarenkorbZustand: As New. Unread book in perfect condition.
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In den WarenkorbPaperback / softback. Zustand: New. New copy - Usually dispatched within 4 working days. 393.
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In den WarenkorbZustand: New. 300.
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In den WarenkorbZustand: New. In.
Verlag: O'Reilly Media 2015-10-23, 2015
ISBN 10: 1491923946 ISBN 13: 9781491923948
Sprache: Englisch
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In den WarenkorbPaperback. Zustand: New.
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In den WarenkorbZustand: New. 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. Num Pages: 220 pages. BIC Classification: UNF. Category: (XV) Technical / Manuals. Dimension: 180 x 233 x 15. Weight in Grams: 392. . 2015. 1st Edition. Paperback. . . . .
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In den WarenkorbZustand: New.
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In den WarenkorbZustand: As New. Unread book in perfect condition.
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In den WarenkorbPaperback. Zustand: New.
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In den WarenkorbZustand: New. 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. Num Pages: 220 pages. BIC Classification: UNF. Category: (XV) Technical / Manuals. Dimension: 180 x 233 x 15. Weight in Grams: 392. . 2015. 1st Edition. Paperback. . . . . Books ship from the US and Ireland.
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In den WarenkorbPaperback. Zustand: Brand New. 200 pages. 9.00x7.00x0.75 inches. In Stock.
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In den WarenkorbZustand: New. 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 t.
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In den WarenkorbPaperback. Zustand: New. 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. Learn the necessary mechanics of working with Hadoop, including how data and computation move around the cluster Dive into map/reduce mechanics and build your first map/reduce job in Python Understand how to run chains of map/reduce jobs in the form of Pig scripts Use a real-world dataset-baseball performance statistics-throughout the book Work with examples of several analytic patterns, and learn when and where you might use them.
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In den WarenkorbTaschenbuch. Zustand: Neu. Neuware - '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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In den WarenkorbPaperback. Zustand: New. 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. Learn the necessary mechanics of working with Hadoop, including how data and computation move around the cluster Dive into map/reduce mechanics and build your first map/reduce job in Python Understand how to run chains of map/reduce jobs in the form of Pig scripts Use a real-world dataset-baseball performance statistics-throughout the book Work with examples of several analytic patterns, and learn when and where you might use them.
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EUR 43,99
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In den WarenkorbPaperback. Zustand: Brand New. 200 pages. 9.00x7.00x0.75 inches. In Stock. This item is printed on demand.