Learning Spark: Lightning-Fast Big Data Analysis

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Название : Learning Spark: Lightning-Fast Big Data Analysis

Автор : Andy Konwinski, Holden Karau, Matei Zaharia, Patrick Wendell

Издательство: O'Reilly Media

Год издания : 2015

Страниц: 274

Формат : mobi

Размер файла: 4,1 MB

Язык : English

Data in all domains is getting bigger. How can you work with it efficiently? Learning Spark: Lightning-Fast Big Data Analysis 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