Apache Spark 2.x For Java Developers Explore Big Data At Scale Using Apache Spark 2.x Java Apis(1st Edition)

Authors:

Sourav Gulati ,Sumit Kumar

Type:Hardcover/ PaperBack / Loose Leaf
Condition: Used/New

In Stock: 2 Left

Shipment time

Expected shipping within 2 - 3 Days
Access to 35 Million+ Textbooks solutions Free
Ask Unlimited Questions from expert AI-Powered Answers 30 Min Free Tutoring Session
7 days-trial

Total Price:

$0

List Price: $48.00 Savings: $48 (100%)
Access to 30 Million+ solutions
Ask 50 Questions from expert AI-Powered Answers 24/7 Tutor Help Detailed solutions for Apache Spark 2.x For Java Developers Explore Big Data At Scale Using Apache Spark 2.x Java Apis

Price:

$9.99

/month

Book details

ISBN: 1787126498, 978-1787126497

Book publisher: Packt Publishing

Offer Just for You!: Buy 2 books before the end of January and enter our lucky draw.

Book Price $0 : Key FeaturesPerform big data processing with Spark?without having to learn Scala!Use the Spark Java API to implement efficient enterprise-grade applications for data processing and analyticsGo beyond mainstream data processing by adding querying capability, Machine Learning, and graph processing using SparkBook DescriptionApache Spark is the buzzword in the big data industry right now, especially with the increasing need for real-time streaming and data processing. While Spark is built on Scala, the Spark Java API exposes all the Spark features available in the Scala version for Java developers. This book will show you how you can implement various functionalities of the Apache Spark framework in Java, without stepping out of your comfort zone.The book starts with an introduction to the Apache Spark 2.x ecosystem, followed by explaining how to install and configure Spark, and refreshes the Java concepts that will be useful to you when consuming Apache Spark's APIs. You will explore RDD and its associated common Action and Transformation Java APIs, set up a production-like clustered environment, and work with Spark SQL. Moving on, you will perform near-real-time processing with Spark streaming, Machine Learning analytics with Spark MLlib, and graph processing with GraphX, all using various Java packages.By the end of the book, you will have a solid foundation in implementing components in the Spark framework in Java to build fast, real-time applications.What you will learnProcess data using different file formats such as XML, JSON, CSV, and plain and delimited text, using the Spark core Library.Perform analytics on data from various data sources such as Kafka, and Flume