Name: Big Data for Chimps: A Guide to Massive-Scale Data Processing in Practice (en Inglés)
Price: 191.43 PEN
Availability: InStock
Author: Kromer Philip (Flip) ; Jurney, Russell
ISBN: 9781491923948

portada Big Data for Chimps: A Guide to Massive-Scale Data Processing in Practice (en Inglés)

Formato

Libro Físico

Autor

Russell Jurney

Kromer Philip (Flip)

Editorial

O'Reilly Media

Idioma

Inglés

Encuadernación

Tapa Blanda

Dimensiones

23.4 x 17.8 x 1.0 cm

Peso

0.36 kg.

ISBN13

9781491923948

Categorías

Lenguajes de programación scripting
Data mining: minería de datos

Big Data for Chimps: A Guide to Massive-Scale Data Processing in Practice (en Inglés)

Russell Jurney (Autor) · Kromer Philip (Flip) (Autor) · O'Reilly Media · Tapa Blanda

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Origen: Estados Unidos (Costos de importación incluídos en el precio)

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Reseña del libro "Big Data for Chimps: A Guide to Massive-Scale Data Processing in Practice (en Inglés)"

Finding patterns in massive event streams can be difficult, but learning how to find them doesnâ 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. Youâ ll gain a practical, actionable view of big data by working with real data and real problems.Perfect for beginners, this bookâ 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, youâ 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 clusterDive into map/reduce mechanics and build your first map/reduce job in PythonUnderstand how to run chains of map/reduce jobs in the form of Pig scriptsUse a real-world datasetâ baseball performance statisticsâ throughout the bookWork with examples of several analytic patterns, and learn when and where you might use them