The Ultimate Hands-On Hadoop [Video]

5 (4 reviews total)
By Frank Kane
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  1. Learning All the Buzzwords and Installing Hadoop

About this video

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.

All the codes and supporting files for this course are available at - https://github.com/packtpublishing/the-ultimate-hands-on-hadoop

Publication date:
June 2017
Publisher
Packt
Duration
14 hours 33 minutes
ISBN
9781788478489

 

Introduction and Installation of Hadoop

 

The Hortonworks and Cloudera Merger and its Effects on the Course

 

Hadoop Overview and History

 

Overview of the Hadoop Ecosystem

About the Author

  • Frank Kane

    Frank Kane spent nine years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers all the time. He holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology, and teaches others about big data analysis.

    Browse publications by this author

Latest Reviews

(4 reviews total)
Well structured and good content
I got the required content at very nominal
Bom produto pelo preço baixo!
The Ultimate Hands-On Hadoop [Video]
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