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Scala and Spark for Big Data Analytics

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关注 过往记忆大数据 微信公众号,回复 8416 获取本书下载地址。

子标题:Explore the concepts of functional programming, data streaming, and machine learning

Scala and Spark for Big Data Analytics
作者:
Md. Karim, Sridhar Alla
ISBN-10:
1785280848
出版年份:
2017
页数:
786
语言:
English
文件大小:
70 MB
文件格式:
PDF

图书描述

Scala has been observing wide adoption over the past few years, especially in the field of data science and analytics. Spark, built on Scala, has gained a lot of recognition and is being used widely in productions. Thus, if you want to leverage the power of Scala and Spark to make sense of big data, this book is for you.

The first part introduces you to Scala, helping you understand the object-oriented and functional programming concepts needed for Spark application development. It then moves on to Spark to cover the basic abstractions using RDD and DataFrame. This will help you develop scalable and fault-tolerant streaming applications by analyzing structured and unstructured data using SparkSQL, GraphX, and Spark structured streaming. Finally, the book moves on to some advanced topics, such as monitoring, configuration, debugging, testing, and deployment.

You will also learn how to develop Spark applications using SparkR and PySpark APIs, interactive data analytics using Zeppelin, and in-memory data processing with Alluxio.

By the end of this book, you will have a thorough understanding of Spark, and you will be able to perform full-stack data analytics with a feel that no amount of data is too big.

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