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

What Will I 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
Requirements
You will need access to a PC running 64-bit Windows, MacOS, or Linux with an Internet connection, if you want to participate in the hands-on activities and exercises. You must have at least 8GB of RAM on your system; 10GB or more is recommended. If your PC does not meet these requirements, you can still follow along in the course without doing hands-on activities.
Some activities will require some prior programming experience, preferably in Python or Scala.
A basic familiarity with the Linux command line will be very helpful.

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’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.

Who is the target audience?
Software engineers and programmers who want to understand the larger Hadoop ecosystem, and use it to store, analyze, and vend “big data” at scale.
Project, program, or product managers who want to understand the lingo and high-level architecture of Hadoop.
Data analysts and database administrators who are curious about Hadoop and how it relates to their work.
System architects who need to understand the components available in the Hadoop ecosystem, and how they fit together.