Mastering Hadoop 3
Big data processing at scale to unlock unique business insights
Language - English
Updated on Oct, 2020
About the Book
Book description
A comprehensive guide to mastering the most advanced Hadoop 3 concepts
Key Features
- Get to grips with the newly introduced features and capabilities of Hadoop 3
- Crunch and process data using MapReduce, YARN, and a host of tools within the Hadoop ecosystem
- Sharpen your Hadoop skills with real-world case studies and code
Book Description
Apache Hadoop is one of the most popular big data solutions for distributed storage and for processing large chunks of data. With Hadoop 3, Apache promises to provide a high-performance, more fault-tolerant, and highly efficient big data processing platform, with a focus on improved scalability and increased efficiency.
With this guide, you’ll understand advanced concepts of the Hadoop ecosystem tool. You’ll learn how Hadoop works internally, study advanced concepts of different ecosystem tools, discover solutions to real-world use cases, and understand how to secure your cluster. It will then walk you through HDFS, YARN, MapReduce, and Hadoop 3 concepts. You’ll be able to address common challenges like using Kafka efficiently, designing low latency, reliable message delivery Kafka systems, and handling high data volumes. As you advance, you’ll discover how to address major challenges when building an enterprise-grade messaging system, and how to use different stream processing systems along with Kafka to fulfil your enterprise goals.
By the end of this book, you’ll have a complete understanding of how components in the Hadoop ecosystem are effectively integrated to implement a fast and reliable data pipeline, and you’ll be equipped to tackle a range of real-world problems in data pipelines.
What you will learn
- Gain an in-depth understanding of distributed computing using Hadoop 3
- Develop enterprise-grade applications using Apache Spark, Flink, and more
- Build scalable and high-performance Hadoop data pipelines with security, monitoring, and data governance
- Explore batch data processing patterns and how to model data in Hadoop
- Master best practices for enterprises using, or planning to use, Hadoop 3 as a data platform
- Understand security aspects of Hadoop, including authorization and authentication
Who this book is for
If you want to become a big data professional by mastering the advanced concepts of Hadoop, this book is for you. You’ll also find this book useful if you’re a Hadoop professional looking to strengthen your knowledge of the Hadoop ecosystem. Fundamental knowledge of the Java programming language and basics of Hadoop is necessary to get started with this book.

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Author Details

Packt Publishing
Founded in 2004 in Birmingham, UK, Packt's mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals.
Working towards that vision, we have published over 6,500 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done - whether that's specific learning on an emerging technology or optimizing key skills in more established tools.
As part of our mission, we have also awarded over $1,000,000 through our Open Source Project Royalty scheme, helping numerous projects become household names along the way.
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