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Hadoop Essentials

Hadoop Essentials

By : Achari
3.5 (6)
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Hadoop Essentials

Hadoop Essentials

3.5 (6)
By: Achari

Overview of this book

This book jumps into the world of Hadoop and its tools, to help you learn how to use them effectively to optimize and improve the way you handle Big Data. Starting with the fundamentals Hadoop YARN, MapReduce, HDFS, and other vital elements in the Hadoop ecosystem, you will soon learn many exciting topics such as MapReduce patterns, data management, and real-time data analysis using Hadoop. You will also explore a number of the leading data processing tools including Hive and Pig, and learn how to use Sqoop and Flume, two of the most powerful technologies used for data ingestion. With further guidance on data streaming and real-time analytics with Storm and Spark, Hadoop Essentials is a reliable and relevant resource for anyone who understands the difficulties - and opportunities - presented by Big Data today. With this guide, you'll develop your confidence with Hadoop, and be able to use the knowledge and skills you learn to successfully harness its unparalleled capabilities.
Table of Contents (9 chapters)
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3
3. Pillars of Hadoop – HDFS, MapReduce, and YARN
8
Index

Summary

In this chapter, we spoke about the big data and its use case patterns. We explored a bit about Hadoop history, finally migrating to the advantages and uses of Hadoop.

Hadoop systems are complex to monitor and manage, and we have separate sub-projects' frameworks, tools, and utilities that integrate with Hadoop and help in better management of tasks, which are called a Hadoop ecosystem, and which we will be discussing in subsequent chapters.

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Hadoop Essentials
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