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Book Overview & Buying
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Table Of Contents
Hands-On Big Data Analysis with Hadoop 3
By :
Hands-On Big Data Analysis with Hadoop 3
By:
Overview of this book
This course is your guide to performing real-time data analytics and stream processing with Spark. Use different components and tools such as HDFS, HBase, and Hive to process raw data. Learn how tools such as Hive and Pig aid in this process.
In this course, you will start off by learning data analysis techniques with Hadoop using tools such as Hive. Furthermore, you will learn to apply these techniques in real-world big data applications. Also, you will delve into Spark and its related tools to perform real-time data analytics, streaming, and batch processing on your application.
Finally, you'll learn how to extend your analytics solutions to the cloud.
Please note that this course is based on Hadoop 3.0 but the code used in the course is compatible with Hadoop 3.2.
The code bundle for this video course is available at -
https://github.com/PacktPublishing/Hands-On-Big-Data-Analysis-with-Hadoop-3
Table of Contents (4 chapters)
HDFS and HBase – The Hadoop Database
Data Processing Using MapReduce
Analyzing Data Using Hive and Pig
Performing Real-Time Events Analysis Using Spark Streaming
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