July 2017
Beginner to intermediate
350 pages
8h 23m
English
Overview
Delve into mastering big data processing with 'Apache Spark 2.x for Java Developers.' This book provides a practical guide to implementing Apache Spark using the Java APIs, offering a unique opportunity for Java developers to leverage Spark's powerful framework without transitioning to Scala.
What this Book will help me do
- Learn how to process data from formats like XML, JSON, CSV using Spark Core.
- Implement real-time analytics using Spark Streaming and third-party tools like Kafka.
- Understand data querying with Spark SQL and master SQL schema processing.
- Apply machine learning techniques with Spark MLlib to real-world scenarios.
- Explore graph processing and analytics using Spark GraphX.
Author(s)
None Kumar and None Gulati, experienced professionals in Java development and big data, bring their wealth of practical experience and passion for teaching to this book. With a clear and concise writing style, they aim to simplify Spark for Java developers, making big data approachable.
Who is it for?
This book is perfect for Java developers who are eager to expand their skillset into big data processing with Apache Spark. Whether you are a seasoned Spark user or first diving into big data concepts, this book meets you at your level. With practical examples and straightforward explanations, you can unlock the potential of Spark in real-world scenarios.
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