Big data Internship Program - Foundation
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Big data Internship Program - Foundation

A Complete Guide to Learn Big data and Hadoop from Scratch.
4.0 (637 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
12,012 students enrolled
Created by Big Data Trunk
Last updated 4/2017
English
English [Auto-generated]
Price: Free
Includes:
  • 4 hours on-demand video
  • 6 Articles
  • 1 Supplemental Resource
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • After this course, students will have all the necessary foundational knowledge which is vital to be a successful big data professional.
View Curriculum
Requirements
  • Basic linux/Unix commands
  • Having knowledge of any one programming language.
Description

This course is part of “Big data Internship Program”  which is aligned to a typical Big data project life cycle stage.

  • Foundation
  • Ingestion
  • Storage
  • Processing
  • Visualization

This part 1 course is focused on the foundation of Big data . It cover technical and non-technical items like

Technical Foundation

  • Refresh your knowledge on Unix
  • Java based on usage into Big Data .
  • Understand  git /github which is used by most of the companies for source control
  • Hadoop Installation

Non-technical Foundation

  • Understand Big data project life cycle
  • Understand Roles in Big data Implementation
  • Understand the Real life Project

Big data Topics

  • Learn about the hadoop ecosystem
  • HDFS
  • MapReduce
  • Why Spark?
Who is the target audience?
  • This course is for anyone who wants to learn about Big Data technologies.
  • Any one who wants to work and learn big data with internship program.
Compare to Other Big Data Courses
Curriculum For This Course
45 Lectures
04:31:06
+
Big data Internship Program - Part 1 Foundation
3 Lectures 09:04

In this video we have show How Big Data training can be a good selection for better carrier growth.

Welcome to Internship Course
02:34

In this video we have shown What is big data trunk?, How Big Data Trunk can change your life?, what are the services provided by Big Data Trunk?

Intro to Big Data Trunk
01:47

In this video we have show you what are our real project on which you will work while doing training  with Big Data Trunk.

Project Overview
04:43
+
Pre Requirements for Big Data --Unix
3 Lectures 25:15

In this video we are going to show you What is unix?. What is unix file structure?.

Pre-req of Unix Concepts
12:20

Quiz for Pre-req of unix
8 questions

In this Video we have explain the basic commands.Which will you use while working on big data.

Unix Hand-ons Walk-through
07:33

Quiz Pre-req Unix Walk through
3 questions

Pre-req Unix Commands
05:22

Unix Questions
15 questions
+
Pre Requirements for Big Data --JAVA Basic
12 Lectures 01:07:34

In this video we are introducing java, what are the basic concepts which will help you to understand you java, like what is object, class, and JRE, JVM, Byte code.

Introduction Java
07:28

Introduction Java
3 questions

In this video we have tried to explain, what are the basic data type?, which are used to store value in them for processing?.

Data Types and Variables
06:24

Data Types and Variables
4 questions

In this video we has trying to show how the flow of programme is managed with controls, like loops, break, continue. Etc.

Java Control Statements
08:38

Java Control Statements
4 questions

In this video we have tried to show what are the basic concepts of oops, like class, object, etc.

Overview Of OOPS Concepts
02:10

Overview Of OOPS Concepts
1 question

In this video we have explained the concept of instance and static variable.

Instance Variable and Static Variable
08:58

Instance Variable and Static Variable
3 questions

In this video we have explained what inheritance is, and how inheritance implemented?

Inheritance
07:12

Inheritance
2 questions

In this video we has explained the how data hiding can be done?.

Abstract Classes and Interface
03:33

Abstract Classes and Interface
4 questions

In this video we are trying to explain how we can secure our code with the help of Access modifiers like public, private keywords.

Access Modifiers
01:51

Access Modifiers
2 questions

In this video we have shown you how wrapper class is implemented.

Wrapper Classes and Auto Boxing
05:18

Wrapper Classes and Auto Boxing
2 questions

In this video we have explained, What are java collection, Benefit of collections, collection Interface.

Collections
05:47

Collections
3 questions

In this video, we have shown you what is generic, why is used, Implementation of generics
Generics Explaination using Stack Class Example
06:38

In this video we have explained what is generic class and its usage.

Generic Class and Its Type
03:37

Generic Class and Its Type
2 questions

Java Questions
15 questions
+
Pre Requirements for Big Data --Git (Version Control System)
6 Lectures 26:38

In this video we have explained what is git?, what is the use of git?.

Introduction to Git
04:52

Quiz for Introduction to Git?
3 questions

In this video we have explained how to configure git account, how to list git activity.

Getting Started With Git
01:57

Getting Started With Git
3 questions

In this video we have explained how what is github, how to interact with webUI.

Git Hub
03:15

for Github
4 questions

In this video we have explained what is git repository, how to create git repository.

Git Repository
05:19

for Repository
3 questions

In this video we have explained the git basic commands, like branch,pull,push etc.

Git Basic Commands
04:20

for Git basic commands
4 questions

In this video we have explained how any git command is executed in git,what is pull, push, stagging area etc.

Git Operations
06:55

for Git operations
5 questions
+
Installation and Configuration of Cloudera
4 Lectures 22:39

In this video we have explained the step by step installation of cloud era with the help of Virtual box. What are the requirements of cloud era installation?

Steps of Cloudera Installation
06:17

Step 1: Download the virtual box- executable file from https://www.virtualbox.org/wiki/Downloads

Download Virtual Box 5.0 for Windows hosts The page look like:

Step2: Click on x86/amd64  link, then it starts downloading virtualBox-5.0.0-101573-Win.exe

Step 3:  Click on arrow to open folder contains the file

Step4: Then folder gets open, then double click on that folder to run

Step5 : Installation process starts. Click on Next button.

Step 6: It show default location ; if you want to change location, click on Browse button. Otherwise click on Next button

Step 7: It shows list of options, click on Next button.

Step8 : Then it asks for installation, Click on Next button.

Step9: It asks for review or change in Installation setting If you want any changes in previous process, click on Back button or else, click on Install button

Step10: It starts processing.

Step11: Click on Finish button

Step12: Virtual Box Manager Window appear.

Step13: Click on below link to download Cloudera Quick Start VM

               http://www.cloudera.com/downloads/quickstart_vms/5-7.html

The page look like:

Step14: Fill below screenshot page and Download the required version from menu (Virtual Box in this case)

Step15: Extract files from cloudera-quickstart-vm-5.7.0-virtualbox.

Step16: Double click on cloudera-quickstart-vm-5.7.0-virtualbox.

Step17: Double Click on setup as shown on below

Step18: Click on Import button

   Step19: Shows Progress of importing.

Step20: After completion of process of importing, the following window opens; then click on highlighted area to start cloudera on Oracle Virtualbox.

Step21: Running Cloudera on Virtualbox.

Step 22: Finally completed installation.

Hands on Lab: Cloudera Installation
01:12

In this video we have explained the icon in cloudera, like  Terminal,eclipse,hue,impala etc.

CDH Quickstart walk-through
07:18

Hue is an open source Web interface for analyzing data with any Apache Hadoop. In this Video we are showing all components of HUE.

Hue Walk-through
07:52

for Hue Walk-through
2 questions
+
Big Data at a Glance
9 Lectures 01:03:53

In this video we have explained the usage of big data, why big data is important?, History of hadoop.

Introduction to Big Data/Big Data Overview
12:24

Introduction to Big Data/Big Data Overview
3 questions

In this video we have explained, what is hadoop, hadoop in day to day, foundation of big data.

Big Data Foundation concepts through a Story
08:13

In this video we have explained the cycle of big data projects. Roles in big data,who are the people who plays roles.

Roles in Big data
04:41

Roles in BIg data
3 questions

In this video we have showed what is big data ecosystem, how this ecosystem is created. What are the parts of this ecosystem.


Big Data Ecosystem
10:32

Bigdata ECO system:
3 questions

In this video we have explain how Spark can be replacement of hadoop. What are the benefit of Spark.

Big Data Ecosystem after Spark
06:57

Bigdata ECO system after spark
3 questions

In this video we have showed How Big Data project is implemented, what are the stages which play important role in implementation of successful project.

Stages in Big data project
04:09

Stages in Bigdata Project
3 questions

In this video we have explained what are the different distributions which are available in market for big data usage.

Big Data Distributions
06:24

Bigdata Distribution
3 questions

Hadoop Quiz Questions
10 questions

Hand on Lab: Understanding HDFS
03:59

HDFS top interview questions
06:34

HDFS Quiz Question
25 questions
+
Exploring MapReduce
6 Lectures 56:05

In this video we have shown how map reduce can be understood with fun. we have explained map reduce process with playing cards , as everybody is familiar with playing cards.

Learn MapReduce in a Fun Way
12:41

Map Reduce Concept
3 questions

In this video we had tried to explain word count problem, how actually map reduce programme count the words, How mapper, reducer, driver are working.

MapReduce Code Dissection
15:28

In this video we have shown you how to execute word count program
MapReduce WordCount Job Lab Video
14:23

Hands On Lab: Map Reduce WordCount program
04:50

In this video we have tried to explain the powers of map reduce, how they are implemented to get the result, how massive parallel processing help us. Where map reduce is used.

Map Reduce Core Concept
02:48

Map Reduce Core Concepts
3 questions

In this video we have shown, How map reduce can be implemented in solving real life problem.

Map Reduce Concept with Simple Example
05:55
+
What's Next?
1 Lecture 01:45

In this Lecture , we would summarize all the things we learnt throughout this course and define the path forward.

What's Next?
01:45
+
Our Knowledge Sharing Lab
1 Lecture 00:52

The aim of this Lab is to install hadoop in windows 10. 

Hadoop installation in windows10
00:52
About the Instructor
Big Data Trunk
4.0 Average rating
756 Reviews
13,030 Students
4 Courses
All about Big Data and Hadoop

Big Data Trunk is the leading Big Data focus consulting and training firm founded by industry veterans in data domain. It helps is customer gain competitive advantage from open source, big data, cloud and advanced analytics. It provides services like Strategy Consulting, Advisory Consulting and high quality classroom individual and corporate training.