This book shows how to use Hadoop 3 to build analytics solutions. It covers Hadoop 3's latest features, gives an overview of HDFS, MapReduce, and YARN, and how they enable faster, more efficient big data processing. Author Sridhar Alla shows how to integrate Hadoop with open source tools such as Python and R to analyze and visualize data and perform statistical computing on big data. He also shows how to use Hadoop 3 with Apache Spark and Apache Flink for real-time data analytics and stream processing, and how to use Hadoop to build analytics solutions on the cloud and an end-to-end pipeline to perform big data analysis using practical use cases.

Author: Sridhar Alla
Publisher: Packt Publishing
Date: May 2018
Pages: 482
ISBN: 978-1788628846
Print: 1788628845
Kindle: B07DGKXDLK
Audience: Data analysis developers
Level: Intermediate
Category: Data Science

• Explore the new features of Hadoop 3 along with HDFS, YARN, and MapReduce
• Get well-versed with the analytical capabilities of Hadoop ecosystem using practical examples
• Integrate Hadoop with R and Python for more efficient big data processing
• Learn to use Hadoop with Apache Spark and Apache Flink for real-time data analytics
• Set up a Hadoop cluster on AWS cloud
• Perform big data analytics on AWS using Elastic Map Reduce

More details of Big Data Analytics with Hadoop 3

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