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Hadoop 3 Big Data Processing Hands On [Intermediate Level]

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Hadoop 3 Big Data Processing Hands On [Intermediate Level], available at $39.99, has an average rating of 4.15, with 43 lectures, based on 13 reviews, and has 84 subscribers.

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You will learn about A Short Crispy Introduction to Big Data & Hadoop Why we need Apache Hadoop 3.0? Features of Hadoop 3.0 Setting up Virtual Machine Linux Fundamentals Linux Users and File Permissions Packages Installation for Hadoop 3x Networking and SSH connection Multi-node Hadoop 3.0 Installation/Configuration EC Architecture Extensions Setting up Hadoop 3x Cluster Cloning Machines and Changing IP Formatting Cluster and Start Services Start and Stop Cluster Hadoop Administrative / Cluster Test HDFS Commands Erasure Coding Commands Running a YARN application Cloning a machine for Commissioning Commissioning a node Decommissioning a node Installing Hive on Hadoop Working with Hive Types of Hadoop Schedulers Typical Hadoop Production Environment This course is ideal for individuals who are ****THIS IS AN INTERMEDIATE LEVEL COURSE **** NOT FOR BEGINNERS **** or IT/BIG Data Professional or Hadoop Administrator or Hadoop Developer or Big Data / Hadoop Architect or Testing Professional (Because in Hadoop a Lot of Testing Professionals are needed to Test the Projects) or Support Engineer or DevOps Professional or DBA Professional (Because Somewhere in Hadoop Ecosystem We have Database Involved) or Data Warehousing Professional or Project Manager or Team Lead (Because If they Handel Team and They Know Hadoop then They Get 2 Cross Sectors Benefit. They can easily talk about the progress of the team with the business leader) or Data Analyst & Data Scientist or Freshers with Little Exposure in Big Data It is particularly useful for ****THIS IS AN INTERMEDIATE LEVEL COURSE **** NOT FOR BEGINNERS **** or IT/BIG Data Professional or Hadoop Administrator or Hadoop Developer or Big Data / Hadoop Architect or Testing Professional (Because in Hadoop a Lot of Testing Professionals are needed to Test the Projects) or Support Engineer or DevOps Professional or DBA Professional (Because Somewhere in Hadoop Ecosystem We have Database Involved) or Data Warehousing Professional or Project Manager or Team Lead (Because If they Handel Team and They Know Hadoop then They Get 2 Cross Sectors Benefit. They can easily talk about the progress of the team with the business leader) or Data Analyst & Data Scientist or Freshers with Little Exposure in Big Data.

Enroll now: Hadoop 3 Big Data Processing Hands On [Intermediate Level]

Summary

Title: Hadoop 3 Big Data Processing Hands On [Intermediate Level]

Price: $39.99

Average Rating: 4.15

Number of Lectures: 43

Number of Published Lectures: 43

Number of Curriculum Items: 43

Number of Published Curriculum Objects: 43

Original Price: $69.99

Quality Status: approved

Status: Live

What You Will Learn

  • A Short Crispy Introduction to Big Data & Hadoop
  • Why we need Apache Hadoop 3.0?
  • Features of Hadoop 3.0
  • Setting up Virtual Machine
  • Linux Fundamentals
  • Linux Users and File Permissions
  • Packages Installation for Hadoop 3x
  • Networking and SSH connection
  • Multi-node Hadoop 3.0 Installation/Configuration
  • EC Architecture Extensions
  • Setting up Hadoop 3x Cluster
  • Cloning Machines and Changing IP
  • Formatting Cluster and Start Services
  • Start and Stop Cluster
  • Hadoop Administrative / Cluster Test
  • HDFS Commands
  • Erasure Coding Commands
  • Running a YARN application
  • Cloning a machine for Commissioning
  • Commissioning a node
  • Decommissioning a node
  • Installing Hive on Hadoop
  • Working with Hive
  • Types of Hadoop Schedulers
  • Typical Hadoop Production Environment

Who Should Attend

  • ****THIS IS AN INTERMEDIATE LEVEL COURSE **** NOT FOR BEGINNERS ****
  • IT/BIG Data Professional
  • Hadoop Administrator
  • Hadoop Developer
  • Big Data / Hadoop Architect
  • Testing Professional (Because in Hadoop a Lot of Testing Professionals are needed to Test the Projects)
  • Support Engineer
  • DevOps Professional
  • DBA Professional (Because Somewhere in Hadoop Ecosystem We have Database Involved)
  • Data Warehousing Professional
  • Project Manager or Team Lead (Because If they Handel Team and They Know Hadoop then They Get 2 Cross Sectors Benefit. They can easily talk about the progress of the team with the business leader)
  • Data Analyst & Data Scientist
  • Freshers with Little Exposure in Big Data

Target Audiences

  • ****THIS IS AN INTERMEDIATE LEVEL COURSE **** NOT FOR BEGINNERS ****
  • IT/BIG Data Professional
  • Hadoop Administrator
  • Hadoop Developer
  • Big Data / Hadoop Architect
  • Testing Professional (Because in Hadoop a Lot of Testing Professionals are needed to Test the Projects)
  • Support Engineer
  • DevOps Professional
  • DBA Professional (Because Somewhere in Hadoop Ecosystem We have Database Involved)
  • Data Warehousing Professional
  • Project Manager or Team Lead (Because If they Handel Team and They Know Hadoop then They Get 2 Cross Sectors Benefit. They can easily talk about the progress of the team with the business leader)
  • Data Analyst & Data Scientist
  • Freshers with Little Exposure in Big Data

                                                     *** THIS COURSE IS NOT FOR BEGINNERS ***

If you are a Big Data Enthusistic then you must know about Hadoop. In this course, we will discuss every corner of Hadoop 3.0

What is Hadoop?

Hadoop is an Opensource Component which is a part of the Apache foundation, it is a Java-Based framework for data storage and processing of Large Datasets in a distributed environment using commodity hardware.

In this course you will learn :

Introduction to Big Data

Introduction to Hadoop

Introduction to Apache Hadoop 1x – Part 1

Why we need Apache Hadoop 3.0?

The motivation of Hadoop 3.0

Features of Hadoop 3.0

Other Improvements on Hadoop 3.0

Pre-requistics of Lab

Setting up a Virtual Machine

Linux fundamentals – Part 1

Linux Users and File Permissions

Packages Installation for Hadoop 3x

Networking and SSH connection

Setup the environment for Hadoop 3x

Inside Hadoop 3x directory structure

EC Architecture Extensions

Setting up Hadoop 3x Cluster

Cloning Machines and Changing IP

Formatting Cluster and Start Services

Start and Stop Cluster

HDFS Commands

Erasure Coding Commands

Running a YARN application

Cloning a machine for Commissioning

Commissioning a node

Decommissioning a node

Installing Hive on Hadoop

Working with Hive

Types of Hadoop Schedulers

Typical Hadoop Production Environment

Course Curriculum

Chapter 1: Introduction & Overview

Lecture 1: Trainer and Course Introduction

Lecture 2: Why this topic is important?

Lecture 3: 3. Prerequisite to Take The Course

Lecture 4: Prerequisite to Take The Course [READ]

Lecture 5: 4. Who Can Take The Course

Lecture 6: [ READ ] Who Can Take The Course

Chapter 2: ch 2 : Apache Hadoop 1x and 2x

Lecture 1: 5. Introduction to Big Data

Lecture 2: 6. Introduction to Hadoop

Lecture 3: 7.Introduction to Apache Hadoop 1x – Part 1

Lecture 4: 8.Introduction to Apache Hadoop 1x – Part 2

Lecture 5: 9.Introduction to Apache Hadoop 2x – Part 1

Lecture 6: 10.Introduction to Apache Hadoop 2x – Part 2

Chapter 3: ch 3 : Apache Hadoop 3x

Lecture 1: 11.Why we need Apache Hadoop 3.0?

Lecture 2: 12.Motivation of Hadoop 3.0

Lecture 3: 13.Features of Hadoop 3.0

Lecture 4: 14.Other Improvements on Hadoop 3.0

Chapter 4: ch-4:Setting up Virtual Machine

Lecture 1: 15.Pre-requistics of Lab

Lecture 2: 16.Setting up a Virtual Machine

Lecture 3: 17.Linux fundamentals – Part 1

Lecture 4: 18.Linux Fundamentals – Part 2

Lecture 5: 19.Linux Users and File Permissions

Lecture 6: 20.Packages Installation for Hadoop 3x

Lecture 7: 21. Networking and SSH connection

Chapter 5: ch-5: Multi-node Hadoop 3.0 Installation/Configuration

Lecture 1: 22. Setup the environment for Hadoop 3x

Lecture 2: 23. Inside Hadoop 3x directory structure

Lecture 3: 24. EC Architecture Extensions

Lecture 4: 25. Setting up Hadoop 3x Cluster – Part 1

Lecture 5: 26. Setting up Hadoop 3x Cluster – Part 2

Lecture 6: 27. Setting up Hadoop 3x Cluster – Part 3

Lecture 7: 28. Setting up Hadoop 3x Cluster – Part 4

Lecture 8: 29. Cloning Machines and Changing IP

Lecture 9: 30. Formatting Cluster and Start Services

Lecture 10: 31. Start and Stop Cluster

Chapter 6: Ch-6: Hadoop Administrative / Cluster Test

Lecture 1: 32. HDFS Commands

Lecture 2: 33. Erasure Coding Commands

Lecture 3: 34. Running a YARN application

Lecture 4: 35. Cloning a machine for Commissioning

Lecture 5: 36. Commissioning a node

Lecture 6: 37. Decommissioning a node

Lecture 7: 38. Installing Hive on Hadoop

Lecture 8: 39. Working with Hive

Lecture 9: 40. Types of Hadoop Schedulers

Lecture 10: 41. Typical Hadoop Production Environment

Instructors

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  • 4 stars: 6 votes
  • 5 stars: 4 votes

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