Learn Big Data Hadoop- Hands-On for Beginner

Learn Big Data Hadoop: Hands-On for Beginner, available at $39.99, has an average rating of 3.65, with 258 lectures, based on 42 reviews, and has 12194 subscribers.

You will learn about Fundamentals of Big Data Basics of Apache Hadoop Hadoop Distributed File System (HDFS) hands on Commands Basics of YARN Architecture Installing Single Node Hadoop System on Windows 10 System HDFS (Shell Commands Hands On) HDFS Architecture Data Replication HDFS Snapshots This course is ideal for individuals who are This course is designed for Beginners in Apache Hadoop Development and looking out for new job as Data Engineer, Big data Engineers or Developers, Software Developer It is particularly useful for This course is designed for Beginners in Apache Hadoop Development and looking out for new job as Data Engineer, Big data Engineers or Developers, Software Developer.

Enroll now: Learn Big Data Hadoop: Hands-On for Beginner

Summary

Title: Learn Big Data Hadoop: Hands-On for Beginner

Price: $39.99

Average Rating: 3.65

Number of Lectures: 258

Number of Published Lectures: 258

Number of Curriculum Items: 258

Number of Published Curriculum Objects: 258

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Fundamentals of Big Data

Basics of Apache Hadoop

Hadoop Distributed File System (HDFS) hands on Commands

Basics of YARN Architecture

Installing Single Node Hadoop System on Windows 10 System

HDFS (Shell Commands Hands On)

HDFS Architecture

Data Replication

HDFS Snapshots

Who Should Attend

This course is designed for Beginners in Apache Hadoop Development and looking out for new job as Data Engineer, Big data Engineers or Developers, Software Developer

Target Audiences

This course is designed for Beginners in Apache Hadoop Development and looking out for new job as Data Engineer, Big data Engineers or Developers, Software Developer

In this course, you will learn Big Data using Apache Hadoop. Why Hadoop? It is one of the most sought-after skills in the IT industry. The average salary in the US is $112,000 per year, up to an average of $160,000 in San Fransisco (source: Indeed).

This course is designed for Beginners in Apache Hadoop Development and looking out for a new job as Data Engineer, Big data Engineers or Developers,  Software Developer

The world of Hadoopand “Big Data” can be intimidating – hundreds of different technologies with cryptic names form the Hadoop ecosystem but you’ll go hands-on and learn how to use them to solve real business problems! Understanding Hadoop is a highly valuable skill for anyone working at companies with large amounts of data.

You will learn how to use the most popular software in the Big Data industry at moment, using batch processing as well as realtime processing.

We will also learn:

Introduction to Big Data

Three Vs of Big Data

How Big is BIG DATA?

How analysis of Big Data is useful for organizations?

What is Hadoop

Why Hadoop and its Use Cases

Different Ecosystems of Hadoop

Structured Unstructured Semi-Structured Data

Apache Hadoop 3.3.0 Single Node Installation on Windows 10

HDFS (Shell Commands Hands-On)

HDFS Architecture

Data Replication

HDFS Snapshots

YARN Architecture

You’ll walk away from this course with a real, deep understanding of Hadoop and its associated distributed systems, and you can apply Hadoop to real-world problems. Plus a valuable completion certificate is waiting for you at the end!

Please note the focus on this course is on application development, not Hadoop administration. Although you will pick up some administration skills along the way.

Course Curriculum

Chapter 1: Introduction to Big Data

Lecture 1: Introduction

Lecture 2: Introduction to Big Data

Lecture 3: Three Vs of Big Data

Lecture 4: How Big is BIG DATA?

Lecture 5: How analysis of Big Data is useful for organizations?

Lecture 6: Challenges of Traditional Systems

Lecture 7: Big Data Engineering Learning Roadmap

Lecture 8: Tips to Improve Your Course Taking Experience

Chapter 2: Introduction to HADOOP

Lecture 1: What is Hadoop

Lecture 2: Why Hadoop and its Use Cases

Lecture 3: Different Ecosystems of Hadoop

Lecture 4: Structured Unstructured Semi-Structured Data

Lecture 5: Relation between Big Data and Hadoop.

Lecture 6: Future of Hadoop

Lecture 7: Challenges with Big Data

Lecture 8: Hadoop VS RDBMS

Lecture 9: Hadoop VS Data Warehouse

Lecture 10: Hadoop VS Teradata

Lecture 11: Type of Big Data Projects

Lecture 12: What is a Cluster Environment?

Lecture 13: What is a Hadoop Cluster?

Chapter 3: Apache Hadoop 3.3.0 Single Node Installation on Windows 10

Lecture 1: Download Java 8 and Apache Hadoop 3.3.0

Lecture 2: Installing and Configuring Java

Lecture 3: Installing and Configuring Hadoop

Lecture 4: Starting Apache Hadoop 3.3.0 Single Node Cluster

Lecture 5: Stopping Apache Hadoop 3.3.0 Single Node Cluster

Chapter 4: Apache Hadoop 3.3.0 Single Node Installation on Ubuntu Linux

Lecture 1: Apache Hadoop 3.3.0 installation on Ubuntu Part 1

Lecture 2: Apache Hadoop 3.3.0 installation on Ubuntu Part 2

Lecture 3: (Ubuntu) Starting Apache Hadoop 3.3.0 Single Node Cluster

Lecture 4: (Ubuntu) Stopping Apache Hadoop 3.3.0 Single Node Cluster

Chapter 5: HDFS (Hadoop Distributed File System) Commands

Lecture 1: Hadoop Distributed File System (HDFS)

Lecture 2: File System (FS) shell

Lecture 3: (Hands On) FileSystem Shell Command to Check Hadoop version

Lecture 4: (Hands On) FileSystem Shell Command to get help for any command

Lecture 5: (Hands On) FileSystem Shell Command to Make Directory in HDFS

Lecture 6: (Hands On) FileSystem Shell Command to display data [cat]

Lecture 7: (Hands On) FileSystem Shell Command [checksum]

Lecture 8: (Hands On) FileSystem Shell Command [copyFromLocal]

Lecture 9: (Hands On) FileSystem Shell Command [copyToLocal]

Lecture 10: (Hands On) FileSystem Shell Command [count]

Lecture 11: (Hands On) FileSystem Shell Command [cp]

Lecture 12: (Hands On) FileSystem Shell Command [df]

Lecture 13: (Hands On) FileSystem Shell Command [du]

Lecture 14: (Hands On) FileSystem Shell Command [find]

Lecture 15: (Hands On) FileSystem Shell Command [get]

Lecture 16: (Hands On) FileSystem Shell Command [getfacl]

Lecture 17: (Hands On) FileSystem Shell Command [head]

Lecture 18: (Hands On) FileSystem Shell Command [ls]

Lecture 19: (Hands On) FileSystem Shell Command [moveFromLocal]

Lecture 20: (Hands On) FileSystem Shell Command [mv]

Lecture 21: (Hands On) FileSystem Shell Command [put]

Lecture 22: (Hands On) FileSystem Shell Command [rm]

Lecture 23: (Hands On) FileSystem Shell Command [rmdir]

Lecture 24: (Hands On) FileSystem Shell Command [tail]

Lecture 25: (Hands On) FileSystem Shell Command [touchz]

Lecture 26: (Hands On) FileSystem Shell Command to append data [appendToFile]

Lecture 27: (Hands On) FileSystem Shell Command to change group [chgrp]

Lecture 28: (Hands On) FileSystem Shell Command to change permission [chmod]

Lecture 29: (Hands On) FileSystem Shell Command to change owner [chown]

Lecture 30: (Hands On) FileSystem Shell Command to merge files [getmerge]

Lecture 31: (Hands On) FileSystem Shell Command to change replication [setrep]

Lecture 32: (Hands On) FileSystem Shell Command to view statistics [stat]

Lecture 33: (Hands On) FileSystem Shell Command to change modifying timestamp [touch]

Lecture 34: (Hands On) FileSystem Shell Command to concat files[concat]

Lecture 35: (Hands On) FileSystem Shell Command to display classpath [classpath]

Lecture 36: (Hands On) FileSystem Shell Command to display environment variables [envvars]

Lecture 37: (Hands On) FileSystem Shell Command fsck [fsck]

Lecture 38: (Hands On) FileSystem Shell Command getconf[getconf]

Lecture 39: (Hands On) FileSystem Shell Command group[group]

Lecture 40: (Hands On) FileSystem Shell Command datanode[datanode]

Chapter 6: HDFS and YARN Architecture

Lecture 1: HDFS Overview

Lecture 2: HDFS Architecture

Lecture 3: Storage aspects of HDFS

Lecture 4: Hadoop Modes of Installation

Lecture 5: NameNode

Lecture 6: DataNode

Lecture 7: NodeManager

Lecture 8: ResourceManager

Lecture 9: Secondary NameNode

Lecture 10: Data Replication

Lecture 11: Rack Awareness

Lecture 12: Robustness

Lecture 13: HDFS Snapshots

Lecture 14: Balancer

Chapter 7: YARN

Lecture 1: What is YARN?

Lecture 2: Difference between Map Reduce & YARN

Lecture 3: YARN Architecture

Lecture 4: Schedular for Yarn (CapacityScheduler/Fair Scheduler)

Lecture 5: Examples Running Mapreduce on YARN

Lecture 6: YARN Web UI

Chapter 8: MapReduce

Lecture 1: Overview

Lecture 2: What is MapReduce?

Instructors

Bigdata Engineer
Bigdata Engineer

Rating Distribution

1 stars: 4 votes

2 stars: 3 votes

3 stars: 9 votes

4 stars: 13 votes

5 stars: 13 votes

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