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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
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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 Architecture of HBase


HBase is column-oriented by design, where HBase tables are stored in ColumnFamilies and each ColumnFamily can have multiple columns. A ColumnFamily's data are stored in multiple files in multiple Regions where a Region holds the data for a particular range of row keys. To manage Regions, MasterServer assigns multiple Regions to a RegionServer. The flexibility in the design of HBase is due to the flexible RegionServers and Regions, and is controlled by a single MasterServer. HBase Architecture uses Zookeeper to manage the coordination and resource management aspects which are needed to be highly available in a distributed environment. Data management in HBase is efficiently carried out by the splitting and compaction processes carried out in Regions to optimize the data for high volume reading and writing. For processing a high volume of write requests, we have two levels of Cache WAL in RegionServer and MemStore in Regions. If the data for a particular range or...

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