Discover how to use Hadoop and 25+ related technologies to process big data with this practical course
About This Video
- Get to grips with the high-level architecture of Hadoop
- Understand the components available in the Hadoop ecosystem, and how they fit together
- Get ready to manage big data using Hadoop and related technologies
Understanding Hadoop is a highly valuable skill for anyone working at companies that work with large amounts of data. Companies such as Amazon, eBay, Facebook, Google, LinkedIn, IBM, Spotify, Twitter, and Yahoo, use Hadoop in some way to process huge chunks of data. This video course will make you familiar with the Hadoop's ecosystem and help you to understand how to apply Hadoop skills in the real-world.
The course starts by taking you through the installation process of Hadoop on your desktop. Next, you will manage big data on a cluster with Hadoop Distributed File System (HDFS) and MapReduce, and use Pig and Spark to analyze data on Hadoop. Moving along, you will learn how to store and query your data using applications, such as Sqoop, Hive, MySQL, Phoenix, and MongoDB. Next, you will design real-world systems using the Hadoop ecosystem and learn how to manage clusters with Yet Another Resource Negotiator (YARN), Mesos, Zookeeper, Oozie, Zeppelin, and Hue. Towards the end, you will uncover the techniques to handle and stream data in real-time using Kafka, Flume, Spark Streaming, Flink, and Storm.
By the end of this course, you will become well-versed with the Hadoop ecosystem and will develop the skills required to store, analyze, and scale big data using Hadoop.
Table of contents
- Title: The Ultimate Hands-On Hadoop
- Release date: June 2017
- Publisher(s): Packt Publishing
- ISBN: 9781788478489
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