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Learning Real-time Processing with Spark Streaming by Sumit Gupta is a book available to read on EtoBox.

What is Learning Real-time Processing with Spark Streaming about?

Cover 1 Copyright 3 Credits 4 About the Author 5 About the Reviewers 6 Table of Contents 8 Preface 12 Chapter 1: Installing and Configuring Spark and Spark Streaming 20 Installation of Spark 21 Hardware requirements 21 CPU 22 RAM 22 Disk 23 Network 23 Operating system 23 Software requirements 24 Spark 24 Java 25 Scala 25 Eclipse 26 Installing Spark extensions – Spark Streaming 27 Configuring and running the Spark cluster 27 Your first Spark program 31 Coding Spark jobs in Scala 31 Coding Spark jobs in Java 35 Tools and utilities for administrators/developers 37 Cluster management 38 Submitting Spark jobs 39 Troubleshooting 39 Configuring port numbers 40 Classpath issues – class not found exception 40 Other common exceptions 40 Summary 41 Chapter 2: Architecture and Components of Spark and Spark Streaming 42 Batch versus real-time data processing 43 Batch processing 44 Real-time data processing 45 Architecture of Spark 47 Spark versus Hadoop 48 Layered architecture – Spark 49 Architecture of Spark Streaming 51 What is Spark Streaming? 51 High-level architecture – Spark Streaming 51 Your first Spark Streaming program 54 Coding Spark Streaming jobs in Scala 54 Coding Spark Streaming j

Author
Sumit Gupta
Language
EN

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