Hadoop, MapReduce, HDFS, Spark, Pig, Hive, HBase, MongoDB, Cassandra, Flume – the list goes on! Over 25 technologies.

Learning Ultimate Hands-On-Hadoop – Tame Your Big Data – A Complete Guide

We have given a detailed review of this course below for our readers but just wanted to highlight some points:

Declared Best Seller at udemy.com
31,730+ students enrolled
4,773 Review available
14.5 Hours on-demand videos
1 Articles
1 Supplemental Resource
Access on Mobile and TV
Assignments
Certificate of Completion
Lifetime Access
30 days Money back guarantee

Most attractive feature is 30 days Money Back Guarantee means there is no risk. If you didn’t like this Hands-On-Hadoop online course, you can refund your money back within next 30 days.

What You will Learn?

Design distributed systems that manage “big data” using Hadoop and related technologies.
Use HDFS and MapReduce for storing and analyzing data at scale.
Use Pig and Spark to create scripts to process data on a Hadoop cluster in more complex ways.
Analyze relational data using Hive and MySQL
Analyze non-relational data using HBase, Cassandra, and MongoDB
Query data interactively with Drill, Phoenix, and Presto
Choose an appropriate data storage technology for your application
Understand how Hadoop clusters are managed by YARN, Tez, Mesos, Zookeeper, Zeppelin, Hue, and Oozie.
Publish data to your Hadoop cluster using Kafka, Sqoop, and Flume
Consume streaming data using Spark Streaming, Flink, and Storm

Online Course Description:

The world of Hadoop and “Big Data” can be intimidating – hundreds of different technologies with cryptic names form the Hadoop ecosystem. With this course, you’ll not only understand what those systems are and how they fit together – but you’ll go hands-on and learn how to use them to solve real business problems!

Learn and master the most popular big data technologies in this comprehensive course, taught by a former engineer and senior manager from Amazon and IMDb. We’ll go way beyond Hadoop itself, and dive into all sorts of distributed systems you may need to integrate with.

Install and work with a real Hadoop installation right on your desktop with Hortonworks and the Ambari UI
Manage big data on a cluster with HDFS and MapReduce
Write programs to analyze data on Hadoop with Pig and Spark
Store and query your data with Sqoop, Hive, MySQL, HBase, Cassandra, MongoDB, Drill, Phoenix, and Presto
Design real-world systems using the Hadoop ecosystem
Learn how your cluster is managed with YARN, Mesos, Zookeeper, Oozie, Zeppelin, and Hue
Handle streaming data in real time with Kafka, Flume, Spark Streaming, Flink, and Storm

Understanding Hadoop is a highly valuable skill for anyone working at companies with large amounts of data.

Almost every large company you might want to work at uses Hadoop in some way, including Amazon, Ebay, Facebook, Google, LinkedIn, IBM, Spotify, Twitter, and Yahoo! And it’s not just technology companies that need Hadoop; even the New York Times uses Hadoop for processing images.

This course is comprehensive, covering over 25 different technologies in over 14 hours of video lectures. It’s filled with hands-on activities and exercises, so you get some real experience in using Hadoop – it’s not just theory. You might also be interested in Spark Certification & Training Courses.

You’ll find a range of activities in this course for people at every level. If you’re a project manager who just wants to learn the buzzwords, there are web UI’s for many of the activities in the course that require no programming knowledge. If you’re comfortable with command lines, we’ll show you how to work with them too. And if you’re a programmer, I’ll challenge you with writing real scripts on a Hadoop system using Scala, Pig Latin, and Python.

You’ll walk away from this course with a real, deep understanding of Hadoop and its associated distributed systems, and you can apply Hadoop to real-world problems. Plus a valuable completion certificate is waiting for you at the end!

Please note the focus on this course is on application development, not Hadoop administration. Although you will pick up some administration skills along the way.

The Ultimate Hands-On Hadoop – Tame your Big Data!