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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.
EUR 30,99
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In den WarenkorbPAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
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In den WarenkorbPAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
EUR 44,30
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In den WarenkorbZustand: New. 300.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
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In den WarenkorbZustand: New. In.
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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.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 54,99
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In den WarenkorbPaperback. Zustand: Brand New. 200 pages. 9.00x7.00x0.75 inches. In Stock.
EUR 33,11
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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.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
EUR 39,24
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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'.