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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

NoSQL databases


We have already discussed about NoSQL as one of the emerging and adopted systems. Within Hadoop ecosystem, we have a NoSQL database called HBase. HBase is one of the key component that provides a very flexible design and high volume simultaneous reads and write in low latency hence it is widely adopted.

Apache HBase

HBase is inspired from Google's Big Table. HBase is a sorted map, which is sparse, consistent, distributed, and multidimensional. HBase is a NoSQL, column oriented database and a key/value store, which works on top of HDFS. HBase provides faster lookup and also high volume inserts/updates of a random access request on a high scale. The HBase schema is very flexible and actually variable, where the columns can be added or removed at runtime. HBase supports low-latency and strongly consistent read and write operations. It is suitable for high-speed counter aggregation.

Many organizations or companies use HBase, such as Yahoo, Adobe, Facebook, Twitter, Stumbleupon,...

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