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

More Information
Learn
  • Store data with HDFS and learn in detail about HBase
  • Share and access data in a SQL-like interface for HDFS
  • Analyze real-time events using Spark Streaming
  • Perform complex big data analytics using MapReduce
  • Analyze data to perform complex processing with Hive and Pig
  • Explore functional programming using Spark
  • Learn to import data using Sqoop
About

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

Features
  • Analyze large volumes of data effectively by combining the power of big data processing tools such as Hadoop and Spark Streaming
  • Work with different kinds of data and perform real-life data operations
  • Explore best use cases, identify problem areas, and solve them with the best open source tools
Course Length 1 hour 36 minutes
ISBN 9781788999908
Date Of Publication 29 Aug 2018