By Sourav Gulati,Sumit Kumar
- Perform huge information processing with Spark—without having to benefit Scala!
- Use the Spark Java API to enforce effective enterprise-grade functions for facts processing and analytics
- Go past mainstream facts processing via including querying strength, desktop studying, and graph processing utilizing Spark
Apache Spark is the buzzword within the gigantic info right away, specially with the expanding want for real-time streaming and information processing. whereas Spark is outfitted on Scala, the Spark Java API exposes all of the Spark beneficial properties on hand within the Scala model for Java builders. This publication will exhibit you ways you could enforce numerous 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 surroundings, by way of explaining easy methods to set up and configure Spark, and refreshes the Java suggestions that may be invaluable to you while eating Apache Spark's APIs. you are going to discover RDD and its linked universal motion and Transformation Java APIs, manage a production-like clustered surroundings, 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 variety of Java packages.
By the tip of the ebook, you may have a pretty good origin in enforcing elements within the Spark framework in Java to construct speedy, real-time applications.
What you are going to learn
- Process info utilizing diversified dossier codecs equivalent to XML, JSON, CSV, and simple and delimited textual content, utilizing the Spark center Library.
- Perform analytics on information from numerous info resources corresponding to Kafka, and Flume utilizing Spark Streaming Library
- Learn SQL schema production and the research of based facts utilizing numerous SQL features together with Windowing services within the Spark SQL Library
- Explore Spark Mlib APIs whereas imposing computing device studying suggestions to unravel real-world problems
- Get to understand Spark GraphX so that you comprehend numerous 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 profession with Unix/Linux and Java after which moved in the direction of monstrous facts and NoSQL international. He has labored on a number of immense info initiatives. He has lately begun a technical web publication 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 varied junctures, he has labored as a Java and SQL developer, however it is shell scripting that he unearths either not easy and pleasurable whilst. at present, he provides colossal facts tasks desirous about batch/near-real-time analytics and the allotted listed querying method. in addition to IT, he is taking a willing curiosity in human and ecological issues.
Table of Contents
- Introduction to Spark
- Java for Spark
- Let's Spark
- Understanding Spark Programming model
- Working with information & storage
- Spark on Cluster
- Spark Programming version - develop concepts
- Working with Spark SQL
- Near actual time processing with Spark Streaming
- Machine studying analytics with Spark MLlib
- Learning Spark GraphX
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Additional info for Apache Spark 2.x for Java Developers
Apache Spark 2.x for Java Developers by Sourav Gulati,Sumit Kumar