Big data Internship Program – Foundation

Big data Internship Program – Foundation, available at Free, has an average rating of 4.1, with 47 lectures, 32 quizzes, based on 1500 reviews, and has 42701 subscribers.

You will learn about After this course, students will have all the necessary foundational knowledge which is vital to be a successful big data professional. This course is ideal for individuals who are This course is for anyone who wants to learn about Big Data technologies. or Any one who wants to work and learn big data with internship program. It is particularly useful for This course is for anyone who wants to learn about Big Data technologies. or Any one who wants to work and learn big data with internship program.

Enroll now: Big data Internship Program – Foundation

Summary

Title: Big data Internship Program – Foundation

Price: Free

Average Rating: 4.1

Number of Lectures: 47

Number of Quizzes: 32

Number of Published Lectures: 47

Number of Published Quizzes: 32

Number of Curriculum Items: 79

Number of Published Curriculum Objects: 79

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

After this course, students will have all the necessary foundational knowledge which is vital to be a successful big data professional.

Who Should Attend

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.

Target Audiences

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.

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?

Course Curriculum

Chapter 1: Big data Internship Program – Part 1 Foundation

Lecture 1: Welcome to Internship Course

Lecture 2: Intro to Big Data Trunk

Lecture 3: Project Overview

Chapter 2: Pre Requirements for Big Data –Unix

Lecture 1: Pre-req of Unix Concepts

Lecture 2: Unix Hand-ons Walk-through

Lecture 3: Pre-req Unix Commands

Chapter 3: Pre Requirements for Big Data –JAVA Basic

Lecture 1: Introduction Java

Lecture 2: Data Types and Variables

Lecture 3: Java Control Statements

Lecture 4: Overview Of OOPS Concepts

Lecture 5: Instance Variable and Static Variable

Lecture 6: Inheritance

Lecture 7: Abstract Classes and Interface

Lecture 8: Access Modifiers

Lecture 9: Wrapper Classes and Auto Boxing

Lecture 10: Collections

Lecture 11: Generics Explaination using Stack Class Example

Lecture 12: Generic Class and Its Type

Chapter 4: Pre Requirements for Big Data –Git (Version Control System)

Lecture 1: Introduction to Git

Lecture 2: Getting Started With Git

Lecture 3: Git Hub

Lecture 4: Git Repository

Lecture 5: Git Basic Commands

Lecture 6: Git Operations

Chapter 5: Installation and Configuration of Cloudera

Lecture 1: Steps of Cloudera Installation

Lecture 2: Hands on Lab: Cloudera Installation

Lecture 3: CDH Quickstart walk-through

Lecture 4: Hue Walk-through

Chapter 6: Big Data at a Glance

Lecture 1: Introduction to Big Data/Big Data Overview

Lecture 2: Big Data Foundation concepts through a Story

Lecture 3: Roles in Big data

Lecture 4: Big Data Ecosystem

Lecture 5: Big Data Ecosystem after Spark

Lecture 6: Stages in Big data project

Lecture 7: Big Data Distributions

Lecture 8: Hand on Lab: Understanding HDFS

Lecture 9: HDFS top interview questions

Chapter 7: Exploring MapReduce

Lecture 1: Learn MapReduce in a Fun Way

Lecture 2: MapReduce Code Dissection

Lecture 3: MapReduce WordCount Job Lab Video

Lecture 4: Hands On Lab: Map Reduce WordCount program

Lecture 5: Map Reduce Core Concept

Lecture 6: Map Reduce Concept with Simple Example

Chapter 8: What's Next?

Lecture 1: What's Next?

Chapter 9: Our Knowledge Sharing Lab

Lecture 1: Hadoop installation in windows10

Lecture 2: Hadoop cluster performance tuning

Lecture 3: Bonus Lecture

Instructors

Big Data Trunk
All about Big Data and Hadoop

Rating Distribution

1 stars: 48 votes
2 stars: 81 votes
3 stars: 261 votes
4 stars: 526 votes
5 stars: 584 votes

Frequently Asked Questions

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