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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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Toc

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

Apache Flume


Flume is extremely popular data ingestion system, which can be used to ingest data from different multiple sources and can put it in multiple destinations. Flume provides a framework to handle and process data on a larger scale, and it is very reliable.

Flume is usually described as distributed, reliable, scalable, manageable, and customizable to ingest and process data from different multiple data sources to multiple destinations.

As we already discussed about the different type of data sources. One thing which makes the design more difficult is that data formats changes frequently in some cases especially social media data in JSON, and usually a Big Data systems has multiple data sources. Flume is extremely efficient in handling such scenarios and provides a greater control over each data source and the processing layer. Flume can be configured in three modes: single node, pseudo-distributed, and fully-distributed mode.

Flume is adapted due to its capability to be highly reliable...

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