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 DescriptionApache 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 forIf 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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