Data Modeling Design

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

By Sourav Gulati,Sumit Kumar

Key Features

  • Perform tremendous information processing with Spark—without having to profit Scala!
  • Use the Spark Java API to enforce effective enterprise-grade purposes for information processing and analytics
  • Go past mainstream facts processing by means of including querying potential, desktop studying, and graph processing utilizing Spark

Book Description

Apache Spark is the buzzword within the monstrous information instantly, specially with the expanding want for real-time streaming and information processing. whereas Spark is outfitted on Scala, the Spark Java API exposes the entire Spark positive aspects on hand within the Scala model for Java builders. This ebook will convey you the way you could enforce a number of functionalities of the Apache Spark framework in Java, with no stepping from your convenience zone.

The e-book begins with an advent to the Apache Spark 2.x environment, through explaining how you can set up and configure Spark, and refreshes the Java ideas that might be precious to you whilst eating Apache Spark's APIs. you are going to discover RDD and its linked universal motion and Transformation Java APIs, arrange a production-like clustered surroundings, and paintings with Spark SQL. relocating on, you are going to practice near-real-time processing with Spark streaming, desktop studying analytics with Spark MLlib, and graph processing with GraphX, all utilizing a variety of Java packages.

By the top of the booklet, you've a superior beginning in enforcing elements within the Spark framework in Java to construct quick, real-time applications.

What you are going to learn

  • Process facts utilizing various dossier codecs similar to XML, JSON, CSV, and undeniable and delimited textual content, utilizing the Spark center Library.
  • Perform analytics on info from a variety of info assets similar to Kafka, and Flume utilizing Spark Streaming Library
  • Learn SQL schema construction and the research of established facts utilizing a variety of SQL features together with Windowing features within the Spark SQL Library
  • Explore Spark Mlib APIs whereas enforcing laptop studying ideas to resolve real-world problems
  • Get to understand Spark GraphX so that you comprehend a number 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 began his occupation with Unix/Linux and Java after which moved in the direction of mammoth facts and NoSQL international. He has labored on numerous massive facts initiatives. He has lately begun a technical weblog known 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 assorted junctures, he has labored as a Java and SQL developer, however it is shell scripting that he reveals either tough and gratifying even as. at the moment, he grants tremendous facts initiatives keen on batch/near-real-time analytics and the dispensed listed querying approach. in addition to IT, he is taking a prepared 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 facts & storage
  6. Spark on Cluster
  7. Spark Programming version - strengthen 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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