Become a Big Data Hadoop Developer from scratch

Bo0mB0oma · February 24, 2019

Become a Big Data Hadoop Developer from scratch

.MP4 | Video: 1280x720, 30 fps® | Audio: AAC, 48000 Hz, 2ch | 666 MB

Duration: 5 hours | Genre: eLearning Video | Language: English

Basic Hadoop tutorial

What you'll learn

Hadoop Distributed File System(HDFS)

Run MapReduce Application using JAVA

Run Max.Temp. Hadoop MapReduce program in JAVA

Running Queries in HBase

What you'll learn

learn introduction to hadoop

Hadoop Distributed File System(HDFS)

MapReduce(MR)

Run MapReduce Application using JAVA

Run Word Count example in JAVA

Run Max.Temp. Hadoop MapReduce program in JAVA

HDFS Commands for accessing Hadoop File System

Running Queries in HBase

Different operations in HBase using JAVA API

HBase Architecture

Apache HIVE

Apache PIG

Requirements

Basics of Object Oriented Programming

Basics of JAVA

Knowledge of programming would be beneficial but not mandatory

Description

Apache Hadoop is an open-source software framework for distributed storage and distributed processing of large data on computer clusters built from commodity hardware.

In this course we'll discuss about several important aspects of Hadoop like HDFS(Hadoop Distributed File System), MapReduce, Hive, HBase and Pig.

First we'll talk about Overview of Big data means what is Big Data, Facts of Big Data, Scenarios, Hadoop cluster architecture. Then we'll move towards HDFS, Components of HDFS and its architecture, NameNode, Secondary NameNode and DataNode.

Next module is about MapReduce. In this we'll talk about Map Phase and Reduce Phase, Architecture of MapReduce, Combiners and Reducers.

Next module is about PIG. In this we'll see what is Apache Pig, its importance, Pig Latin language, and where to avoid Pig.

Them we'll talk about HBase, we'll talk about its use cases, general commands in HBase, DDL in HBase, DML in HBase, How to create, delete and integrate table in HBase and lot more.

So start learning Hadoop today.

Who this course is for:

Professionals who want to learn Hadoop

Data Analyst

Hadoop Beginners

Professionals who want to make MapReduce Application

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