Big Data Hadoop Tutorial for Beginners: Learn in 7 Days!

Key Info
Description - a brief synopsis, abstract or summary of what the learning resource is about: 
Big Data is the latest buzzword in the IT Industry. Apache’s Hadoop is a leading Big Data platform used by IT giants Yahoo, Facebook & Google. This step by step free course is geared to make a Hadoop Expert. This online guide is designed for beginners. But knowledge of  Java and Linux will help.  NOTE:  The tutorials feature ads on the pages of the tutorials.
You can find these contents from this page:
  -Introduction to BIG DATA: What is, Types, Characteristics & Example
  -What is Hadoop? Introduction, Architecture, Ecosystem, Components
  -How to Install Hadoop with Step by Step Configuration on Ubuntu
  -HDFS Tutorial: Architecture, Read & Write Operation using Java API
  -What is MapReduce? How it Works - Hadoop MapReduce Tutorial
  -Hadoop & MapReduce Examples: Create your First Program
  -Hadoop MapReduce Join & Counter with Example
 -Apache Sqoop Tutorial: What is, Architecture, Example
 -Apache Flume Tutorial: What is, Architecture & Twitter Example
 -Hadoop Pig Tutorial: What is, Architecture, Example
 -Apache Oozie Tutorial: What is, Workflow, Example - Hadoop
 -Big Data Testing Tutorial: What is, Strategy, how to test Hadoop
 -Hadoop & MapReduce Interview Questions & Answers
Authoring Organization(s) Name: 
Access Cost: 
No fee
Primary language(s) in which the learning resource was originally published or made available: 
More info about
Keywords - short phrases describing what the learning resource is about: 
Big data
Computer Science
Data analysis
Data coding
Data skills education
Software management
Subject Discipline - subject domain(s) toward which the learning resource is targeted: 
Engineering: Computer Engineering
Physical Sciences and Mathematics: Computer Sciences
Publisher - organization credited with publishing or broadcasting the learning resource: 
Media Type - designation of the form in which the content of the learning resource is represented, e.g., moving image: 
Interactive Resource - requires a user to take action or make a request in order for the content to be understood, executed or experienced.
Educational Info
Purpose - primary educational reason for which the learning resource was created: 
Instruction - detailed information about aspects or processes related to data management or data skills.
Learning Resource Type - category of the learning resource from the point of view of a professional educator: 
Course - series of units and lessons used to teach the skills and knowledge required by its curriculum.
Target Audience - intended audience for which the learning resource was created: 
Data manager
Data professional
Early-career research scientist
Graduate student
High school student
Mid-career research scientist
Software engineer
Technology expert group
Undergraduate student
Intended time to complete - approximate amount of time the average student will take to complete the learning resource: 
More than 1 Day (but less than 1 week)