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Lessons List | 67 Lesson

Big Data and Hadoop Introduction

Big Data and Hadoop Introduction

Big Data Overview

Big Data Overview

Types of Data under Big Data

Types of Data under Big Data

Big Data Technologies

Big Data Technologies

Five V s in Big Data

Five V s in Big Data

Introduction to Hadoop

Introduction to Hadoop

What is Hadoop

Brief History on Hadoop

Brief History on Hadoop

Hadoop Ecosystem

Hadoop Ecosystem

Different Hadoop Vendors

Different Hadoop Vendors

Hadoop Architecture

Hadoop Architecture

Introduction to Environment Setup

Introduction to Environment Setup

Installing Virtual Box and Setup a Machine

Installing Virtual Box and Setup a Machine

Installing Linux Environment

Installing Linux Environment

Installing JDK and JRE for Hadoop

Installing JDK and JRE for Hadoop

Installing Hadoop for Single Node Cluster

Installing Hadoop for Single Node Cluster

Installing Hadoop on Pseudo Distributed Mode

Installing Hadoop on Pseudo Distributed Mode

Final Steps for Hadoop Installation

Final Steps for Hadoop Installation

Introduction to HDFS

Introduction to HDFS

Overview on HDFS

Overview on HDFS

HDFS Architecture

HDFS Architecture

HDFS Reading

HDFS Writing

Basic HDFS Commands

Basic HDFS Commands

Introduction to Map Reduce

Introduction to Map Reduce

What is MapReduce

What is MapReduce

Shuffle Sorting of MapReduce Task

Shuffle Sorting of MapReduce Task

Job Scheduling in MapReduce

Job Scheduling in MapReduce

Basics of MapReduce Algorithms

Basics of MapReduce Algorithms

Example of MapReduce Program

Example of MapReduce Program

Introduction to HBase

Introduction to HBase

HBase Overview

HBase Installation

HBase Installation

HBase Architecture

HBase Architecture

Difference Between RDBMS and HBase

Difference Between RDBMS and HBase

HBase Shell

Table Creation Data insertion

Table Creation Data insertion

Data Scan and Read

Data Scan and Read

Disabling and Enabling of a Table

Disabling and Enabling of a Table

Data Deletion in HBase Table

Data Deletion in HBase Table

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Course Description

Hadoop Big data Hadoop is an open source, Java based framework used for storing and processing big data. The data is stored on inexpensive commodity servers that run as clusters. ... Cafarella, Hadoop uses the MapReduce programming model for faster storage and retrieval of data from its nodes.Why is Hadoop used for big data? Hadoop is the best solution for storing and processing big data because: Hadoop stores huge files as they are (raw) without specifying any schema. High scalability - We can add any number of nodes, hence enhancing performance dramatically. High availability - In hadoop data is highly available despite hardware failure.

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