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
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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
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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.
