Learn BigData & Hadoop with Practical

Learn Hadoop and BigData with real examples and architecture of Hadoop
Rating: 4.0 out of 5 (644 ratings)
15,397 students
Learn BigData & Hadoop with Practical
Rating: 4.0 out of 5 (644 ratings)
15,437 students
Understand what is BigData and Hadoop
What is HDFS and Map Reduce
You get practical knowledge how HDFS and Map Reduce Examples
Understand what the job of a Hadoop Developer /Tester looks like
This course is meant for students willing to next generation of IT
Understanding V's of Big Data
Evolution of Hadoop

Requirements

  • No prior knowledge required
  • Have a laptop/desktop to work on hadoop practicals
Description

*** Course Updated as of August 2017! ***

*** Introductionary very detailed course for Hadoop and bigData ***
*** Only course in Udemy which is taught with practical for Hadoop Basics***----------------------------------------------------------------------------------------------------------------

What is Bigdata / Hadoop
- Big Data are large data sets which can't be processed using traditional data processing software.
- These data sets consist of data from different sources and are analyzed and processed for gathering valuable information.
- Big e-commerce websites use big data to gather information about customer preferences and browsing patterns to provide 
viable suggestions and search results to individual customers.

What You Will Learn
You will get detailed understanding of Hadoop and Big Data.
Lectures are made with real examples, helping to understand better
Why hadoop came and what is Hadoop Ecosystem
Hadoop Architecture will be explain in details
Examples will be explained how data is saved into Hadoop
If you are developer or testers, this is your first step to enter into Hadoop/BigData domain
What are V's of BigData
Some facts about BigData
What are BigData tools available
Advantages of bigdata Analysis
Why is bigData in Huge Demand
Practical example of handling files in HDFS
Practical example of Map Reduce i.e. how Hadoop works in real
This course will make you prepare for BigData & hadoop.
This course will be covering the basis of Hadoop while covering its architecture, component and working of it.

Why This course

Course is cheap compared to other courses and just having lectures of 1 hr only

This is doesn't give introduction but detailed description and also practical hands on experience

Instructor support is avaialable for this course

If you didin't liked the course you have 30 days refund policy

Who this course is for:
  • Anyone in Software Industry
  • IT Professional who what to swift to Hadoop as their carrier
  • Hadoop jobs are highly paid, so anyone who wants to earn more
Curriculum
8 sections • 25 lectures • 3h 49m total length
  • Carrier with Hadoop
  • What is BigData
  • BigData Examples
  • BigData Generating Scenarios
  • Facts About BigData
  • BigData for Testers
  • BigData Tools
  • Hadoop vs Conventional Databases
  • BigData in Analysis
  • Types of Data in BigData
  • Characteristic's of BigData or V's
  • Advantages of BigData & Hadoop
  • Hadoop Stratergy
  • Hadoop Ecosystem
  • History & Hadoop Working
  • Hadoop Distributed File System
  • Components of Hadoop Cluster
  • Map Reduce
  • Explaining MapReduce with Example
  • Installing Hadoop-Cloudera
  • Copying File to Hadoop
  • Copy from Hadoop filesystem and deleting file
  • Moving and displaying files in HDFS
  • Running map reduction for stadar deviation
  • Map Reduce Example

Instructor
Software Testing Coach
Vaibhav Singhal
  • 4.2 Instructor Rating
  • 8,640 Reviews
  • 111,950 Students
  • 14 Courses


I have be in software testing since a decade. Worked with different testing techniques along with exploratory testing. Performed different regression, performance, api etc testing with tools and libraries like selenium, jmeter, loadrunner, protractor, rest assured, Katalon and others.

Worked with various MNC's on various profiles and managed automation projects.

Objective: to help software testing community