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You're reading from  Apache Hadoop 3 Quick Start Guide

Product typeBook
Published inOct 2018
Reading LevelIntermediate
PublisherPackt
ISBN-139781788999830
Edition1st Edition
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Hrishikesh Vijay Karambelkar
Hrishikesh Vijay Karambelkar
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Hrishikesh Vijay Karambelkar

Hrishikesh Vijay Karambelkar is an innovator and an enterprise architect with 16 years of software design and development experience, specifically in the areas of big data, enterprise search, data analytics, text mining, and databases. He is passionate about architecting new software implementations for the next generation of software solutions for various industries, including oil and gas, chemicals, manufacturing, utilities, healthcare, and government infrastructure. In the past, he has authored three books for Packt Publishing: two editions of Scaling Big Data with Hadoop and Solr and one of Scaling Apache Solr. He has also worked with graph databases, and some of his work has been published at international conferences such as VLDB and ICDE.
Read more about Hrishikesh Vijay Karambelkar

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Working with data structures in HDFS

When you work with Apache Hadoop, one of the key design decisions that you take is to identify the most appropriate data structures for storing your data in HDFS. In general, Apache Hadoop provides different data storage for any kind of data, which could be text data, image data, or any other binary data format. We will be looking at different data structures supported by HDFS, as well as other ecosystems, in this section.

Understanding SequenceFile

Hadoop SequenceFile is one of the most commonly used file formats for all HDFS storage. SequenceFile is a binary file format that persists all of the data that is passed to Hadoop in <key, value> pairs in a serialized form, depicted in...

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Apache Hadoop 3 Quick Start Guide
Published in: Oct 2018Publisher: PacktISBN-13: 9781788999830

Author (1)

author image
Hrishikesh Vijay Karambelkar

Hrishikesh Vijay Karambelkar is an innovator and an enterprise architect with 16 years of software design and development experience, specifically in the areas of big data, enterprise search, data analytics, text mining, and databases. He is passionate about architecting new software implementations for the next generation of software solutions for various industries, including oil and gas, chemicals, manufacturing, utilities, healthcare, and government infrastructure. In the past, he has authored three books for Packt Publishing: two editions of Scaling Big Data with Hadoop and Solr and one of Scaling Apache Solr. He has also worked with graph databases, and some of his work has been published at international conferences such as VLDB and ICDE.
Read more about Hrishikesh Vijay Karambelkar