Learn How to Analyse Big Data in Hadoop with R Analytic Tool

Learn How to Analyse Big Data in Hadoop with R Analytic Tool, available at $19.99, has an average rating of 2.9, with 33 lectures, based on 25 reviews, and has 192 subscribers.

You will learn about Integration of R, RStudio with Hadoop Components on CDH 5.x Learn Different ways to integrate R with Hadoop Run MapReduce application using RHadoop Packages Import/Export data using HDFS Have in-depth Knowledge of Column-Oriented Database (HBase) Analyze data using Hadoop streaming in R Learn techniques to write your own Mapper and Reducer in R and execute them on Hadoop Perform Stock Market Data Analysis using RHadoop Packages This course is ideal for individuals who are Developers aspiring to be a 'Data Scientist' or Analytics Managers who are leading a team of analysts or Business Analysts or 'R' professionals who want to captivate and analyze Big Data or Hadoop Professionals or Analysts wanting to understand Data Science methodologies It is particularly useful for Developers aspiring to be a 'Data Scientist' or Analytics Managers who are leading a team of analysts or Business Analysts or 'R' professionals who want to captivate and analyze Big Data or Hadoop Professionals or Analysts wanting to understand Data Science methodologies .

Enroll now: Learn How to Analyse Big Data in Hadoop with R Analytic Tool

Summary

Title: Learn How to Analyse Big Data in Hadoop with R Analytic Tool

Price: $19.99

Average Rating: 2.9

Number of Lectures: 33

Number of Published Lectures: 33

Number of Curriculum Items: 33

Number of Published Curriculum Objects: 33

Original Price: ₹3,299

Quality Status: approved

Status: Live

What You Will Learn

Integration of R, RStudio with Hadoop Components on CDH 5.x
Learn Different ways to integrate R with Hadoop
Run MapReduce application using RHadoop Packages
Import/Export data using HDFS
Have in-depth Knowledge of Column-Oriented Database (HBase)
Analyze data using Hadoop streaming in R
Learn techniques to write your own Mapper and Reducer in R and execute them on Hadoop
Perform Stock Market Data Analysis using RHadoop Packages

Who Should Attend

Developers aspiring to be a 'Data Scientist'
Analytics Managers who are leading a team of analysts
Business Analysts
'R' professionals who want to captivate and analyze Big Data
Hadoop Professionals
Analysts wanting to understand Data Science methodologies

Target Audiences

Developers aspiring to be a 'Data Scientist'
Analytics Managers who are leading a team of analysts
Business Analysts
'R' professionals who want to captivate and analyze Big Data
Hadoop Professionals
Analysts wanting to understand Data Science methodologies

This course will cover the whole data life cycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts. Students, at the end of this training, will be technically competent in the basics and the fundamental concepts of R with Hadoop such as:

Understand most common way to link R and Hadoop by introducing three packages rmr, rhdfs and rhbase
Work with Hadoop Mappers and Reducers to analyze data using R.
Understand typical concepts such as RHIVE and Hadoop streaming along with practical implementation.
Working on stock Market Data with the help of case study.

This course contains lectures as videos along with the hands-on implementation of the concepts, additional assignments, and Installation Files are also provided in the last section for your self-practice, working files are provided along with the first lecture.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Prerequisite

Lecture 3: What you will learn

Lecture 4: Exercise Files

Chapter 2: Get ready to use R and Hadoop

Lecture 1: 1.1 Ways to Integrate R with Hadoop

Lecture 2: 1.2 Install R Hadoop Packages

Chapter 3: RHDFS and RMR

Lecture 1: 2.1 Focus on HDFS

Lecture 2: 2.2 Working with HDFS

Lecture 3: 2.3 Rhdfs Function

Lecture 4: 2.4 Working with Rhdfs

Lecture 5: 2.5 Overview of rmr

Lecture 6: 2.6 Write MapReduce jobs using rmr-I

Lecture 7: 2.7 Write MapReduce jobs using rmr-II

Chapter 4: RHBASE

Lecture 1: 3.1 Introduction to HBase

Lecture 2: 3.2 Getting Started with HBase Shell

Lecture 3: 3.3 Working with HBase Shell

Lecture 4: 3.4 Introduction to Rhbase

Lecture 5: 3.5 Working with Rhbase

Chapter 5: Hadoop Streaming using R

Lecture 1: 4.1 Introduction to Hadoop Streaming

Lecture 2: 4.2 Hadoop Streaming Commands

Lecture 3: 4.3 Stock Market Data analysis Using Hadoop Streaming-I

Lecture 4: 4.4 Stock Market Data analysis Using Hadoop Streaming-II

Lecture 5: 4.5 Monitoring MapReduce Job

Lecture 6: 4.6 Exploring HadoopStreaming R Package

Lecture 7: 4.7 Implement HadoopStreaming of R package Function

Chapter 6: RHIVE

Lecture 1: 5.1 Introduction to HIVE

Lecture 2: 5.2 Hive Commands

Lecture 3: 5.3 Working with HIVE commands

Lecture 4: 5.4 RHive Overview

Lecture 5: 5.5 Getting started with HiveServer

Lecture 6: 5.6 Integrate R to Hive using Hdfs

Lecture 7: 5.7 Working with RHive

Lecture 8: Assignment and Quiz

Instructors

Easylearning guru
Your Pace!! Your Place!!

Rating Distribution

1 stars: 5 votes
2 stars: 2 votes
3 stars: 4 votes
4 stars: 7 votes
5 stars: 7 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

Menu