Book Image

Hands-On Big Data Analysis with Hadoop 3 [Video]

By : Tomasz Lelek
Book Image

Hands-On Big Data Analysis with Hadoop 3 [Video]

By: Tomasz Lelek

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)
Chapter 1
HDFS and HBase – The Hadoop Database
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Section 5
Creating an HBase Database – Using HBase from Java
In this video, you will learn how to create an HBase database using HBase from the Java client library. - Learn how to create a table and family - Learn how to create rows and columns - Learn how to retrieve data