Apache Spark 2.x for Java Developers - download pdf or read online

By Sourav Gulati,Sumit Kumar

Key Features

  • Perform monstrous info processing with Spark—without having to benefit Scala!
  • Use the Spark Java API to enforce effective enterprise-grade functions for info processing and analytics
  • Go past mainstream facts processing by means of including querying potential, laptop studying, and graph processing utilizing Spark

Book Description

Apache Spark is the buzzword within the great facts without delay, specially with the expanding want for real-time streaming and information processing. whereas Spark is equipped on Scala, the Spark Java API exposes the entire Spark good points on hand within the Scala model for Java builders. This booklet will convey you ways you could enforce numerous functionalities of the Apache Spark framework in Java, with no stepping from your convenience zone.

The booklet starts off with an creation to the Apache Spark 2.x atmosphere, through explaining easy methods to set up and configure Spark, and refreshes the Java thoughts that would be worthwhile to you whilst eating Apache Spark's APIs. you'll discover RDD and its linked universal motion and Transformation Java APIs, organize a production-like clustered atmosphere, and paintings with Spark SQL. relocating on, you are going to practice near-real-time processing with Spark streaming, computer studying analytics with Spark MLlib, and graph processing with GraphX, all utilizing a number of Java packages.

By the top of the booklet, you have got a superb beginning in enforcing elements within the Spark framework in Java to construct quickly, real-time applications.

What you'll learn

  • Process info utilizing varied dossier codecs reminiscent of XML, JSON, CSV, and undeniable and delimited textual content, utilizing the Spark middle Library.
  • Perform analytics on facts from a variety of information assets comparable to Kafka, and Flume utilizing Spark Streaming Library
  • Learn SQL schema construction and the research of established facts utilizing quite a few SQL capabilities together with Windowing services within the Spark SQL Library
  • Explore Spark Mlib APIs whereas imposing computer studying strategies to unravel real-world problems
  • Get to grasp Spark GraphX so that you comprehend a variety of graph-based analytics that may be played with Spark

About the Author

Sourav Gulati is linked to software program for greater than 7 years. He all started his occupation with Unix/Linux and Java after which moved in the direction of mammoth facts and NoSQL global. He has labored on a variety of significant info tasks. He has lately all started a technical weblog referred to as Technical studying in addition. except IT global, he likes to examine mythology.

Sumit Kumar is a developer with insights in telecom and banking. At diversified junctures, he has labored as a Java and SQL developer, however it is shell scripting that he unearths either tough and pleasurable whilst. presently, he provides sizeable facts tasks serious about batch/near-real-time analytics and the dispensed listed querying method. along with IT, he is taking a willing curiosity in human and ecological issues.

Table of Contents

  1. Introduction to Spark
  2. Java for Spark
  3. Let's Spark
  4. Understanding Spark Programming model
  5. Working with information & storage
  6. Spark on Cluster
  7. Spark Programming version - enhance concepts
  8. Working with Spark SQL
  9. Near actual time processing with Spark Streaming
  10. Machine studying analytics with Spark MLlib
  11. Learning Spark GraphX

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Apache Spark 2.x for Java Developers by Sourav Gulati,Sumit Kumar

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