February 2019
Beginner to intermediate
544 pages
14h 36m
English
Overview
"Mastering Hadoop 3" is your in-depth guide to understanding and mastering the advanced features of the Hadoop ecosystem. With a focus on distributed computing and data processing, this book covers essential tools such as YARN, MapReduce, and Apache Spark to help you build scalable, efficient data pipelines.
What this Book will help me do
- Gain a comprehensive understanding of Hadoop Distributed File System (HDFS) and YARN for effective resource management.
- Master data processing with MapReduce and learn to integrate with real-time processing engines like Spark and Flink.
- Develop and secure enterprise-grade Hadoop-based data pipelines by implementing robust security and governance measures.
- Explore techniques for batch data processing, data modeling, and designing applications tailored for Hadoop environments.
- Understand best practices for optimizing and troubleshooting Hadoop clusters for enhanced performance and reliability.
Author(s)
The authors, including None Wong, None Singh, and None Kumar, bring together years of experience in big data engineering, distributed systems, and enterprise application development. They aim to provide a clear pathway to mastering Hadoop ecosystem tools.
Who is it for?
This book is ideal for budding big data professionals who have some familiarity with Java and basic Hadoop concepts and wish to elevate their expertise. If you're a Hadoop career practitioner keen to expand your understanding of the ecosystem's advanced capabilities or a professional looking to implement Hadoop in organizational workflows, this book is well-suited for you.
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