Course info
May 22, 2018
2h 1m
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By 2022 the Global Market for Hadoop is predicted to be over 87 Billion. That’s a huge market and one of the reasons Data Engineers are in such high demand. In this course, Getting Started with Hortonworks Data Platform, you will learn how to build a big data cluster using the hadoop data platform.

  • First, you will explore how to navigate your HDP cluster from the Command line.
  • Next, you will discover how to use Ambari to automate your Hadoop cluster.
  • Finally, you will learn how to set up rack awareness for multi server clusters.
By the end of this course, you will be ready to build your own data cluster using Hortonworks Hadoop data platform.
Course FAQ
Course FAQ
What is Hortonworks?

Hortonworks is an open-source software designed to manage Big Data and associated processing.

What is big data analytics?

Big data is a field that treats ways to analyze, systematically extract information, and deal with data sets that are too large or complex to be dealt with by traditional data-processing application software.

What will I learn in this Hortonworks course?

In this course, you will learn how to use Ambari, navigate HTTP clusters, set up rack awareness, and learn how to understand Hadoop 3.0. By the end of this course, you will know how to build a Hortonworks data platform cluster.

Are there prerequisites for this course?

Prerequisites for this course would be having Linux installed as well as understanding Linux fundamentals.

What do data engineers do?

Data engineers are responsible for finding trends in data sets and developing algorithms to help make raw data more useful to an enterprise.

About the author
About the author

Thomas is a Senior Software Engineer and Certified ScrumMaster. He spends most of his time working with the Hortonwork Data Platform and Agile Coaching.

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Section Introduction Transcripts
Section Introduction Transcripts

Course Overview
Hi everyone. My name is Thomas Henson, and welcome to my course, Hortonworks Getting Started. I'm a course author at Pluralsight and a data engineering advocate in the big data community. By 2020, the global market for Hadoop is predicted to be over 87 billion. Think about that. $87 billion. That's a huge market and one of the reasons data engineers are in such high demand. This course is devoted to training the future data engineers on how to build out their first big data cluster using the Hortonworks Data Platform. Hortonworks is one of the largest contributors to the big data analytics open source community and one of the core contributors to the start of Hadoop. Some of the topics that we will cover include learning how to use Ambari to automate our Hadoop cluster from adding nodes to installing other data analytic components like Spark, Pig, and Hive; navigating our HTTP cluster from the command line; setting up rack awareness for multi-server clusters; and understanding the changes that are coming in Hadoop 3. 0. Those are going to be some huge changes. By the end of this course you'll know how to build and manage a Hortonworks Data Platform cluster. But before beginning this course, you should be familiar with installing Linux in a physical or virtual environment, and also some basic Linux command line skills. I hope you'll join me on this journey to learn about building Hadoop clusters, with the Hortonworks Getting Started course, at Pluralsight.