0 Hadoop Admin Course

Big Data and Hadoop Administrative Course

Lesson 00 Course Introduction

This lesson will give you an overview of the course, its pre-requisites and opportunities.

Course Objectives

·         Describe Big Data and Hadoop ecosystem

·         Describe advanced cluster configuration features

·         Explain Hadoop Distributed File System

·         Discuss MapReduce and YARN

·         Discuss Hadoop administration and maintenance

·         Explain important Hadoop components and ecosystem components

Course Overview

This training course provides the following:

·         A detailed introduction to the basics of Apache Hadoop

·         Knowledge on planning Hadoop cluster, Sqoop, MapReduce, YARN, Pig, Hive, and Impala

·         An overview of the Hadoop installation and configuration, advanced cluster configuration features, HDFS, and important Hadoop components

·         Knowledge on Hadoop administration and maintenance, and Hadoop ecosystem components

Following are the target audience of this course:

·          Professionals aspiring for a career in Big Data analytics using Apache Hadoop

·         Individuals who intend to design, deploy, and maintain Hadoop clusters

·         System Administrators, Developers, Architects, IT professionals, Analytics professionals, and experts are also key beneficiaries

·         Other aspirants and students, who wish to gain through understanding of Hadoop clusters

The prerequisites of the Big Data and Hadoop Administrator course are as follows:

·         Fundamental knowledge of any programming language

·         Good knowledge on Linux

·         Fundamental programming skills

·         Working knowledge of Java (not mandatory)

Value to Professionals

Hadoop professionals will be:

·         Furnished with Hadoop skeleton aptitudes in the fast-developing Big Data Analytics industry.

·         Prepared to drive Big Data methodology from Hadoop execution and bunch checking completely through exceptional security at huge speed and scale.

·         Popular in all leading associations worldwide in the following decade.

·         Leading the move from customary databases and information distribution centers to more adaptable, versatile framework based on Apache Hadoop.

Lessons Covered

Following is the list of lessons covered in this course:

Lesson 1 Introduction to Big Data and Hadoop

Lesson 2 Planning Hadoop Cluster

Lesson 3 Hadoop Installation and Configuration

Lesson 4 Advanced Clusters and Configuration

Lesson 5 Hadoop Distributed File System

Lesson 6 Overview of MapReduce and YARN

Lesson 7 Important Hadoop Components

Lesson 8 Hadoop Administration and Maintenance

Lesson 9 Hadoop Ecosystem components

Demos and Lab Exercises are also included in the course.