Learning Spark: Lightning-Fast Big Data Analysis

Holden Karau

565 évaluations par Goodreads

Langue : anglais

Edité par O'Reilly Media, United States, Sebastopol, 2015

1449358624 / 9781449358624

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A propos de cet article

Data in all domains is getting bigger. How can you work with it efficiently? This book introduces Apache Spark, the open source cluster computing system that makes data analytics fast to write and fast to run. With Spark, you can tackle big datasets quickly through simple APIs in Python, Java, and Scala. Written by the developers of Spark, this book will have data scientists and engineers up and running in no time. You'll learn how to express parallel jobs with just a few lines of code, and cover applications from simple batch jobs to stream processing and machine learning. Quickly dive into Spark capabilities such as distributed datasets, in-memory caching, and the interactive shell Leverage Spark's powerful built-in libraries, including Spark SQL, Spark Streaming, and MLlib Use one programming paradigm instead of mixing and matching tools like Hive, Hadoop, Mahout, and Storm Learn how to deploy interactive, batch, and streaming applications Connect to data sources including HDFS, Hive, JSON, and S3 Master advanced topics like data partitioning and shared variables. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged. …

N° de réf. du vendeur GOR007721436

Titre
Learning Spark: Lightning-Fast Big Data Analysis
Auteur
Holden Karau
Éditeur
O'Reilly Media, United States, Sebastopol
Année de publication
2015
État de l'article
Very Good
Reliure
Paperback
Langue
anglais
ISBN à 10 chiffres
1449358624
ISBN à 13 chiffres
9781449358624
Poids de l'article
440 grammes
Dimensions
178.0 x 233.0

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Goring-By-Sea, WS, Royaume-Uni

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