Certification Course on Hadoop and Hive

A training course specifically designed to help you start a career in Hadoop and Hive!

6

Total Lesson

54

Total Video

DETAILS OF THE COURSE

An exhaustive course certification course on Hadoop and Hive!

Our Big Data Training Course is designed to provide you with hands-on training on sophisticated systems and tools used by Big Data Architects. During this course, you will learn all essential Big Data skills including Hadoop overview , MapReduce, HDFS, YARN and Hive.

Why Learn Big Data and Hadoop? 

Organizations all over the world are realizing the benefits offered by Big Data and Hadoop. Many large companies are recruiting Big Data engineers in huge numbers. Forbes, McKinsey, IDC and Gartner all predict that this trend will continue to rise over the next few years. Already, there is a shortage of high quality Big Data engineers and there will be a huge demand for it in the near future. Also, Big Data and Hadoop engineers are amongst the highest paid IT professionals in the world today. The average salary for a Big Data and Hadoop engineer is $135,000 and it is predicted that salaries will rise. The market for Big Data and Hadoop engineers is huge and this offers a great opportunity to engineering students and young professionals. By getting certified in Big Data and Hadoop, you’ll be on your way to building a successful career in Big Data.

Who Should Go for this Course? 

Our Hadoop and Hive Training Course is specifically designed for engineering students and early professionals who want to build a career in Big Data and Hadoop.

About the Training

Our Big Data Training Course is designed to help engineering students and early professionals build a career in Big Data and Hadoop. Our hands-on training includes essential Big Data concepts including MapReduce, HDFS, YARN and Hive. You will learn how to use these concepts in real-life industry-based use cases in our training course. Our training course is a stepping stone to starting a career in Big Data. You’ll be exposed to theory, practical, assignments, use cases and plenty of interaction with peers and industry experts. After completing our course, you will be certified as a Hadoop and Hive Developer.

Training Objectives

By completing our Big Data Training Course, you will learn the essential skills and become a Big Data specialist. Our training course will help you:








     
  •  
  •  
  •  
  •  
  • Understand the core concepts of MapReduce and HDFS frameworks

  • Grasp the concepts of Hadoop 2.x Architecture

  • Write complex programs in MapReduce

  • Perform data analytics using Hive.

  • Implement best practices for Big Data and Hadoop

  • Work on live projects

  • Become certified as a Hadoop and Hive Developer.






  •  
  •  
  •  
  •  
  •  

What are the System Requirements for this Course?

In order to successfully undergo our course, you’ll need a computer which satisfies minimum system requirements. This includes:








     
  •  
  •  
  •  
  •  
  • A Windows (XP SP3 or higher) or Mac (OSX 10.6 or higher) computer

  • CPU processor of Intel i3 or above

  • RAM of 4GB or more

  • Internet connectivity

  • Headset, speakers and microphone






  •  
  •  
  •  
  •  
  •  

If your system does not meet these minimum requirements and you’re not looking to upgrade, you can still be a part of our training course. Just let us know and we’ll arrange for remote access to our our Hadoop Cluster.

How Will I Execute the Practical?

To execute the practical, we’ll help you set up a virtual machine with local access on your computer. We’ll provide you with all the instructions and a detailed guide for setting up the environment to execute the practical. In case your computer does not meet the minimum system requirements, you can always execute your practical through remote access to our Hadoop Cluster. Just let us know in advance and we’ll arrange for remote access. And, if you have any doubts regarding the practical, you can always get in touch with our  support team. Our expert support team will address your doubts and queries promptly.


OUTLINE OF THE COURSE


Chapter 1 - Big Data Overview
Theory
Big Data Overview - Part 1
 13:13
Big Data Overview - Part 2
Big Data Overview - Part 3
Chapter 2 - Hadoop Overview
Theory
Introduction to Hadoop - Part 1
Introduction to Hadoop - Part 2
Introduction to Hadoop - Part 3
LAB Session
Cloudera Virtual Machine Installation
Chapter 3 - Hadoop Distributed File System (HDFS)
Theory
HDFS Introduction
HDFS Architecture
HDFS Replication and Re-replication Process
HDFS Write and Read Process
HDFS HA, Failover, Fencing and File Permission
Chapter 4 - Yet Another Resource Negotiator (YARN)
Theory
Challenges with Hadoop 1.0 - An introduction to YARN
YARN Architecture
Chapter 5 - MapReduce Programming Framework
Theory
Introduction to MapReduce Programming - Part 1
Introduction to MapReduce Programming - Part 2
Introduction to MapReduce Programming - Part 3
LAB Session
MapReduce - Driver Class, Mapper Class
MapReduce - Writable and WritableComparable
MapReduce - Reducer, Combiner etc
MapReduce - Word Count Example
Use Case
MapReduce - Hot and Cold Day - Problem Statement
MapReduce - Hot and Cold Day - Solution
MapReduce - Log File Analysis - Problem Statement
MapReduce - Log File Analysis - Solution
MapReduce - YouTube Data Analysis - Problem Statement
MapReduce - YouTube Data Analysis - Solution
MapReduce - Patent Data Analysis - Problem Statement
MapReduce - Patent Data Analysis - Solution
Assignment
TOP-N Words
Calculate Maximum Temperature
Chapter 6 - HIVE
Theory
HIVE Introduction
 10:36
HIVE Architecture and Component
HIVE Data Types
HIVE Data Model
HIVE SerDe
LAB Session
Hive - Hive Commands
Hive - Create,Drop and Alter Hive Database
Hive - Create , Describe and Show Hive Table
Hive - Hive Managed Table
Hive - Hive Managed Table and Location key Word
Hive - Hive External Table and Location key Word
Hive - Hive Partitioned
Hive - Hive DROP and ALTER Tables
Hive - Hive DML
Hive - Hive Queries
Hive - Hive Join
Hive - Hive Built In Operators and Functions
Use Case
Indian Railways Train Time Table Analysis - Problem Statement
Indian Railways Train Time Table Analysis - Solution
Airplane Crash History Data Analysis - Problem Statement
Airplane Crash History Data Analysis - Solution
Active Satellite Around Earth Data Analysis - Problem Statement
Active Satellite Around Earth Data Analysis - Solution
Assignment
Hive Assignment

Prosenjit De and Praveenkumar Devarajan

Co Author of BigDataHorizon’s Hadoop and Hive certification course

Praveenkumar Devarajan
Data Architect at Anthem, Orange County, California

Prosenjit De
Co-Founder of BigDataHorizon
Alumni of IIM AHMEDABAD

What is included

An exhaustive certification course to ensure that you’re an expert Hadoop and Hive specialist!

Unlike most other short-term Big Data certification programs, our training course is unique. Our comprehensive course covers all the necessary elements to transform you from a college student or a young professional to a certified Big Data expert.

Here are some of the salient features of our exhaustive Big Data Training Course:

  • Practical Assignments after each topic
  • Access to Course Discussion Forum
  • High Quality pre recorded course video
  • Virtual Machine Installation Support
  • Access to Cloud Lab
  • Support from Experts
  • Doubt Clearing Sessions(Self Paced) – Batch details will be communicated upfront
  • Live Instructor Led sessions ( for Instructor Led)
  • Topic Quizzes
  • Real-life Case Studies
  • One Practice Exam
  • Final Assessment Test
  • Certification

Prerequisites

There are no specific prerequisites to be eligible for our Big Data Training Course. As an early professional or an engineering student, you can go ahead and enroll for our training course.

That being said, knowledge of SQL, Java or OOPS programming will be beneficial in understanding our course, but it is not mandatory. However, we do encourage applicants to familiarize themselves with working on Linux/Unix platforms.

We will be providing “Java for Hadoop” and “Linux Basics” as FREE “Self Paced” course part of the Hadoop and Hive certification course.

Case Studies

Towards the completion of our Big Data Training Course, you will work on a live case study using core concepts learnt during the training. Our industry-specific case studies span various industries including Aviation, Finance, Retail, Social Media and Tourism, among others. You can choose any industry-specific case study to work on.

These are only basic examples of the real-life case studies you can choose to work on. More specifics and details regarding case studies will be revealed to you during your training.

FAQ

Your doubts and queries regarding our Big Data Training Course – answered!

1. Who will train me? How do you select faculties?

You will be trained by leading industry experts who are highly qualified and certified as instructors. We select faculties with extreme care so that you get the best possible training experience.

All of our instructors are industry practitioners with 10-15 years of relevant experience. Our instructors are subject matters in Big Data and Hadoop working in firms innovative tech firms like Amazon, TCS, Neustar, Social Code, Anthem. We also specially train our instructors so that they can offer you an enriching learning experience.

2. What are the different training models you offer?

We offer two different training models – instructor-led training and self-paced training. You can choose whichever type of training model you’re comfortable with.

Our instructor-led training model includes prerecorded video content for you to go through. And, you’ll have access to 8 to 10 live training sessions (each 2 hours duration) with our faculties to discuss concepts, clarify doubts and get your questions answered.

Our self-paced training model allows you to complete the training course at your own speed. We’ll provide you with prerecorded video content and you can clarify doubts and discuss concepts in our online forum.  

3. What if I miss a class or training session?

When you choose our Big Data Training Course, you need not worry about missing a class or training session. We’ll provide you with prerecorded video content which you can access at any time. And, if you miss any instructor session, you can always attend the missed session with any other live batch.

4. How can I enroll for your training?

You can enroll for our Big Data Training Course right here on our website

5. How do I pay for the training course?

We accept a variety of payment options, which include online money transfer, credit and debit cards (Visa, Mastercard. You can choose any of these payment options as per your convenience.

6. Do you offer group discounts?

Yes, we do! To find out more about what group discounts we offer on our Big Data Training Course, please get in touch with us.

7. How do I learn more about your training course?

If you’d like to learn more about our Big Data Training Course before enrollment, you can always get in touch with our support team. We’ll connect you to customer service representatives who will offer you all the information you need about our training course.

8. How do I get assistance on the training?

We’re committed to make our training a helpful and enriching learning experience. If you choose our instructor-led model, our expert instructors will offer you all the assistance you need on the training. Alternatively, if you choose our self-paced model, you can always use our online forum to interact with peers for any assistance.

9. What if I have any more queries?

If we haven’t answered all of your questions or if you have any specific query, please feel free to get in touch with us using our “Contact Us”page. We’ll do everything we can to resolve your queries.