Build a Hadoop Big Data cluster from scratch | Udemy


Build a Hadoop Big Data cluster from scratch | Udemy
English | Size: 3.45 GB
Genre: eLearning

What you’ll learn
Install a Hadoop Big Data environment
Manage and configure Hadoop components
Install a Hadoop cluster with ambari
Learn to manage the HDFS file system
Understand the most important concepts of MapReduce and YARN
Learn to install and configure associated products such as HIVE, HUE, HBASE, SPARK, ETC ….

During this course we will learn the concepts and components that will allow you to work with a BigData and Hadoop environment and set up a cluster with this technology and we will see the most common products and tools in this ecosystem

Valid for versions 2 and 3 of Hadoop

What content we’ll see?

– You will learn the basic concepts of this technology

– You will see how to download and install Hadoop manually

– You will also learn to install and configure Hadoop with ambari

– You will work with HDFS to understand file management in Hadoop

– You will install and configure Map Reduce and YARN

– You will learn to install and configure the most used products and tools within the Hadoop ecosystem:

HIVE

SQOOP

SPARK

HUE

ZooKeeper

HBASE

Other products that I will upload and update

PIG

FLUME

……

With virtual machines prepared for the course !!!!

– A basic machine in Linux Centos 6 with which you can do all the practices from the beginning

– Three virtual machines in Linux Centos 7 with Hadoop already installed and configured in Cluster mode with which you can start working with Hadoop without having to do the initial installation and configuration part

In summary, this course will enable you to start developing and using this infrastructure in your work environment.

The course will be above all practical, so that you learn in an enjoyable, fun and productive way.

Any questions we are at your disposal. Ask without problems!

I hope you enjoy it!

Who this course is for?
This course is aimed at people who need to install and manage a Hadoop environment
It is also interesting for those who want to keep up to date on knowledge related to BigData and Hadoop
Those who want to know the products associated with Hadoop

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