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Holden Karau, Andy Konwinski - Learning Spark: Lightning-Fast Big Data Analysis скачать


Holden Karau, Andy Konwinski - Learning Spark: Lightning-Fast Big Data AnalysisНазвание: Learning Spark: Lightning-Fast Big Data Analysis
Автор: Holden Karau, Andy Konwinski, Patrick Wendell
Издательство: O'Reilly Media
ISBN: 1449358624
Год: 2015
Страниц: 274
Язык: английский
Формат: epub
Размер: 24.6 MB

Данные во всех доменах становятся все больше. Как вы можете эффективно работать с ними? В этой книге представлена Apache Spark, кластерная вычислительная система с открытым исходным кодом, которая позволяет быстро анализировать данные и быстро запускать их. С помощью Spark вы можете быстро обрабатывать большие массивы данных с помощью простых API на Python, Java и Scala.

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


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