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You're reading from Hadoop Essentials

Product typeBook

Published inApr 2015

Reading LevelIntermediate

PublisherPackt

ISBN-139781784396688

Edition1st Edition

Languages

Java

Tools

Hadoop

Concepts

Data Processing

Author (1)

Shiva Achari

The Read pipeline

Read in HBase is performed in the following steps:

Client sends a read request. The request is received by the RegionServer which identifies all the Regions where the HFiles are present.
First, the MemStore of the Region is queried; if the data is present, then the request is serviced.
If the data is not present, the BlockCache is queried to check if it has the data; if yes, the request is serviced.
If the data is not present in the BlockCache, then it is pulled from the Region and serviced. Now the data is cached in MemStore and BlockCache..

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Hadoop Essentials

Published in: Apr 2015Publisher: PacktISBN-13: 9781784396688

Author (1)

Shiva Achari

Shiva Achari has over 8 years of extensive industry experience and is currently working as a Big Data Architect consultant with companies such as Oracle and Teradata. Over the years, he has architected, designed, and developed multiple innovative and high-performance large-scale solutions, such as distributed systems, data centers, big data management tools, SaaS cloud applications, Internet applications, and Data Analytics solutions. He is also experienced in designing big data and analytics applications, such as ingestion, cleansing, transformation, correlation of different sources, data mining, and user experience in Hadoop, Cassandra, Solr, Storm, R, and Tableau. He specializes in developing solutions for the big data domain and possesses sound hands-on experience on projects migrating to the Hadoop world, new developments, product consulting, and POC. He also has hands-on expertise in technologies such as Hadoop, Yarn, Sqoop, Hive, Pig, Flume, Solr, Lucene, Elasticsearch, Zookeeper, Storm, Redis, Cassandra, HBase, MongoDB, Talend, R, Mahout, Tableau, Java, and J2EE. He has been involved in reviewing Mastering Hadoop, Packt Publishing. Shiva has expertise in requirement analysis, estimations, technology evaluation, and system architecture along with domain experience in telecoms, Internet applications, document management, healthcare, and media. Currently, he is supporting presales activities such as writing technical proposals (RFP), providing technical consultation to customers, and managing deliveries of big data practice groups in Teradata.
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