When you enroll through our links, we may earn a small commission—at no extra cost to you. This helps keep our platform free and inspires us to add more value.

Creating Your First Big Data Hadoop Cluster Using Cloudera CDH
Data by itself has no meaning, it is what you do with it that counts. In this course, you'll fast track to Hadoop & Big Data with the Cloudera QuickStart VM and then you'll learn how to set up a Hadoop cluster with Cloudera CDH.

This Course Includes
pluralsight
5 (78 reviews )
1 hour 33 minutes
english
Online - Self Paced
Expanded Courses
pluralsight
About Creating Your First Big Data Hadoop Cluster Using Cloudera CDH
"Ask Bigger Questions" is Cloudera's vision. You may not be familiar with this phrase, but you're likely familiar with "Knowledge is Power". To get knowledge you need to analyze and understand huge amounts of structured and unstructured data - Big Data. In this course, Creating Your First Big Data Hadoop Cluster Using Cloudera CDH, you'll get started on Big Data with Cloudera, taking your first steps with Hadoop using a pseudo cluster and then moving on to set up our own cluster using CDH, which stands for Cloudera's Distribution including Hadoop. First, you'll explore the case for Hadoop, Big Data, and Cloudera. Next, you'll learn about the fast track to Big Data with Cloudera's QuickStart VM and you'll also learn how to create a visualization environment with VirtualBox. Then, you'll discover how to create a Linux clean cluster with CentOS. Finally, you'll follow the steps to install and configure a cluster with the help of Cloudera Manager. By the end of this course, you'll have a Hadoop cluster, and you'll be ready to start your journey to Big Data.
What You Will Learn?
- Course Overview : 1min.
- The Case for Big Data, Hadoop, & Cloudera : 14mins.
- Fast Track: Getting Started with the Cloudera QuickStart VM : 29mins.
- Prerequisite: Getting Linux Machines Ready for Your Cluster : 23mins.
- Installing Your First Big Data Cluster Using Cloudera CDH : 20mins.
- Final Takeaway : 4mins.