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Hadoop All in 1 and R Programming Training: Combo Course

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Key Highlights

86 Hrs Instructor Led Training
Hands on Exercise and Project Work: 122 Hrs Self-paced Videos
Access Duration: Lifetime Project & Exercises
Certification and Job Assistance
Flexible Schedule
Lifetime Free Upgrade
24 x 7 Lifetime Support & Access
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Hadoop All in 1 and R Programming Training Overview

Key Features:

  • This is a combo course including:
    1. Hadoop Developer Training
    2. Hadoop Analyst Training
    3. Hadoop Administration Training
    4. Hadoop Testing Training
    5. R programming
  • 86 hours of high-quality in-depth video e-learning sessions
  • 122 hours of lab exercises
  • Intellipaat Proprietary VM for lifetime and free cloud access for 6 months for performing exercises
  • 70% of extensive learning through hands-on exercises, project works, assignments and quizzes
  • Preparing for Cloudera Spark and Hadoop Developer Certification (CCA175), Cloudera CCA Administrator Exam (CCA131) exam and R Certification exams
  • Working with Hortonworks and MapR Distributions
  • 24/7 lifetime support with guaranteed rapid problem resolution
  • Lifetime access to videos, tutorials and course material
  • Guidance to resume preparation and job assistance
  • Step-by-step installation of software
  • Course Completion Certificate from Intellipaat

After the completion of this Hadoop all-in-one course, you will be able to:

  • Excel in the concepts of Hadoop Distributed File System (HDFS)
  • Implement HBase and MapReduce integration
  • Understand Data Science Project Life Cycle, Data Acquisition and Data Collection
  • Execute various Machine Learning Algorithms
  • Understand Apache Hadoop 2.7 framework and architecture
  • Learn to write complex MapReduce programs in both MRv1 and MRv2
  • Design and develop applications involving large data using Hadoop Ecosystem
  • Understand Prediction and Analysis Segmentation through Clustering
  • Learn the basics of Big Data and ways to integrate R with Hadoop
  • Learn various advanced modules like YARN, Flume, Hive, Oozie, Impala, ZooKeeper and Hue.
  • Set up Hadoop infrastructure with single and multi-node clusters using Amazon EC2 (CDH4)
  • Monitor a Hadoop cluster and execute routine administration procedures
  • Understand the functioning of R-Calculator
  • Master Vector Creation and assigning values to variables
  • Generate Repeats and Factor levels
  • Gain insight into database connectivity, reading data to ODBC tables, linear regression and logistic regression
  • Prepare a comprehensive case study on R Programming using Hadoop

Hadoop Projects

1. Project – Working with MapReduce, Hive, Sqoop

Problem Statement – It describes how to import MySQL data using sqoop and querying it using hive and also describes how to run the word count MapReduce job.

2. Project – Work on Movie lens data for finding top records

Data – Movie Lens dataset

Problem Statement – It includes:

  • Write a MapReduce program to find the top 10 movies from the u.data file
  • Create the same top 10 movies using PIG by loading u.data into pig
  • Create the same top 10 movies using HIVE by loading u.data into HIVE

3. Project – Hadoop Yarn Project – End to End PoC

Problem Statement – It includes:

  • Import Movie data
  • Append the data
  • How to use sqoop commands to bring the data into the HDFS
  • End to End flow of transaction data
  • How to process the real word data or a huge amount of data using map reduce program in terms of the movie etc.

4. Project – Partitioning Tables

Problem Statement – It describes the parting and How to perform portioning. It includes:

  • Manual Partitioning
  • Dynamic Partitioning
  • Bucketing

5. Project – Sales Commission

Data – Sales

Problem Statement – In this we calculate the commission according to the sales.

6. Project – Connecting Pentaho with Hadoop Ecosystem

Problem Statement – It includes:

  • Quick Overview of ETL and BI
  • Configuring Pentaho to work with Hadoop Distribution
  • Loading data into Hadoop cluster
  • Transforming data into Hadoop cluster
  • Extracting data from Hadoop Cluster

7. Project – Multinode Cluster Setup

Problem Statement – It includes following actions:

  • Hadoop Multi-Node Cluster Setup using Amazon ec2 – Creating 4 node cluster setup
  • Running Map Reduce Jobs on Cluster

8. Project – Hadoop Testing using MR

Problem Statement – It describes that how to test map reduce codes with MR unit.

9. Project – Hadoop Weblog Analytics

Data – Weblogs

Problem Statement – The goal is to enable the participants to have a feel of the actual data sets in a production environment and how to load the data into a Hadoop cluster using various techniques. Once data is loaded, the next goal is to perform basic analytics on this data.

2. R Programming Project – Restaurant Revenue Prediction

Data – Revenue Dataset

Problem Statement – It predicts the annual restaurant sales based on the objective measurements. It uses following data fields:

  • Id
  • Opening Date
  • Type of the City
  • Type of the Restaurant
  • Three categories of Obfuscated Data
  • Revenue

It also includes:

  • Data Overview
  • Data Fields
  • Evaluation using RMSE
  • Feature Engineering / Selection

Prerequisites:

  • Basic knowledge of UNIX
  • Prior knowledge of Apache Hadoop is not required
  • Background knowledge in Statistics

Recommended Audience:

  • Programming Developers, System Administrators and ETL Developers
  • Project Managers eager to learn new techniques of maintaining large data
  • Experienced working professionals aiming to become Big Data Analysts
  • Professionals aiming to build career in real-time Data Analytics with Apache Storm techniques and Hadoop Computing
  • Professionals aspiring to be a ‘Data Scientist’
  • Information Architects to gain expertise in Predictive Analytics domain
  • Mainframe Professionals, Architects and Testing Professionals
  • Graduates eager to learn the latest Big Data technology.
  • This course provides an exploratory data analysis approach using concepts of R Programming and Hadoop.
  • It gives the complete study of effective data handling, amazing graphical facilities for data analytics and user-friendly ways to create top-notch graphics.
  • Big multinational companies like Google, Yahoo, Apple, eBay, Facebook and many others are hiring skilled professionals capable of handling Big Data using Hadoop and Data Science techniques.
  • The training certifies you for the biggest, top-paid job opportunities in top MNCs working on Big Data, R Programming and Hadoop.
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Course Fees

Self Paced Training

  • Hands on Exercise and Project Work: 122 Hrs e-learning videos
  • Lifetime Free Upgrade
  • 24 x 7 Lifetime Support & Access

$264

Corporate Training

  • Customized Learning
  • Enterprise grade learning management system (LMS)
  • 24x7 Support
  • Enterprise grade reporting

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Curriculum

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Peer Learning

Via Intellipaat PeerChat, you can interact with your peers across all classes and batches and even our alumni. Collaborate on projects, share job referrals & interview experiences, compete with the best, make new friends — the possibilities are endless and our community has something for everyone!

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Hadoop and R Certification

This course is designed for clearing Cloudera Spark and Hadoop Developer Certification (CCA175), Cloudera CCA Administrator Exam (CCA131) and R Certification exams. At the end of the course, there will be a quiz and project assignments. Once you complete them, you will be awarded with Intellipaat Course Completion Certificate.

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