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Big data for chimps : a guide to massive-scale data processing in practice /

"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&...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Kromer, Philip (Autor), Jurney, Russell (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Sebastopol, CA : O'Reilly Media, 2015.
Edición:First edition.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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245 1 0 |a Big data for chimps :  |b a guide to massive-scale data processing in practice /  |c Philip Kromer & Russell Jurney. 
246 3 0 |a Guide to massive-scale data processing in practice 
250 |a First edition. 
264 1 |a Sebastopol, CA :  |b O'Reilly Media,  |c 2015. 
300 |a 1 online resource (1 volume) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
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500 |a Includes index. 
505 0 |a Part 1. Introduction: Theory and Tools -- Chapter 1. Hadoop Basics -- Chapter 2. MapReduce -- Chapter 3. A Quick Look into Baseball -- Chapter 4. Introduction to Pig -- Part 2. Tactics: Analytic Patterns -- Chapter 5. Map-Only Operations -- Chapter 6. Grouping Operations -- Chapter 7. Joining Tables -- Chapter 8. Ordering Operations -- Chapter 9. Duplicate and Unique Records. 
520 |a "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"--  |c Publisher's description 
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650 6 |a Exploration de données (Informatique) 
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