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Hadoop Essentials

You're reading from   Hadoop Essentials Delve into the key concepts of Hadoop and get a thorough understanding of the Hadoop ecosystem

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Product type Paperback
Published in Apr 2015
Publisher Packt
ISBN-13 9781784396688
Length 194 pages
Edition 1st Edition
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Author (1):
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Shiva Achari Shiva Achari
Author Profile Icon Shiva Achari
Shiva Achari
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Table of Contents (9) Chapters Close

Preface 1. Introduction to Big Data and Hadoop FREE CHAPTER 2. Hadoop Ecosystem 3. Pillars of Hadoop – HDFS, MapReduce, and YARN 4. Data Access Components – Hive and Pig 5. Storage Component – HBase 6. Data Ingestion in Hadoop – Sqoop and Flume 7. Streaming and Real-time Analysis – Storm and Spark Index

The Hadoop use cases


Hadoop can help in solving the big data problems that we discussed in Chapter 1, Introduction to Big Data and Hadoop. Based on Data Velocity (Batch and Real time) and Data Variety (Structured, Semi-structured and Unstructured), we have different sets of use cases across different domains and industries. All these use cases are big data use cases and Hadoop can effectively help in solving them. Some use cases are depicted in the following figure:

Potential use case for Big Data Analytics

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