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You're reading from Big Data Analytics with Hadoop 3

Product typeBook

Published inMay 2018

PublisherPackt

ISBN-139781788628846

Edition1st Edition

Tools

Hadoop

Concepts

Big Data

Author (1)

Sridhar Alla

Summary

In this chapter, we have discussed the new features in Hadoop 3.x and how it improves the reliability and performance of Hadoop 2.x. We also walked through the installation of a standalone Hadoop cluster on the local machine.

In the next chapter, we will take a peek into the world of big data analytics.

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Big Data Analytics with Hadoop 3

Published in: May 2018Publisher: PacktISBN-13: 9781788628846

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Author (1)

Sridhar Alla

Sridhar?Alla?is the co-founder and CTO of Blue Whale Consulting and is expert at helping companies (big and small) define their vision for systems and capabilities that will allow them to establish a strategic execution plan to deal with the ever-growing data collected to support analytics and product teams. He has very experienced at dealing with all aspects of data collection, security, governance, and processing as part of end-to-end big data analytics and machine learning initiatives (including predictive modeling, deep learning, and ML automation). Sridhar?is a published book author and an avid presenter at numerous conferences, including Strata, Hadoop World, and Spark Summit.? He also has several patents filed with the US PTO on large-scale computing and distributed systems.? He has over 18 years' experience writing code in Scala, Java, C, C++, Python, R, and Go, and has extensive hands-on knowledge of Spark, Flink, TensorFlow, Keras, Hadoop, Cassandra, HBase, MongoDB, Riak, Redis, Zeppelin, Mesos, Docker, Kafka, ElasticSearch, Solr, H2O, machine learning, text analytics, distributed computing, and high-performance computing. Sridhar lives with his wife and daughter in New Jersey and in his spare time loves blogging and coaching organizations on next-generation advancements in technology and their alignment with business goals.
Read more about Sridhar Alla

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