Big Data and Hadoop

Become a Hadoop Expert by mastering MapReduce, Yarn, Pig, Hive, HBase, Oozie, Flume and Sqoop while working on industry based Use-cases and Projects.

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About The Course

Big Data and Hadoop training course is designed to provide knowledge and skills to become a successful Hadoop Developer. In-depth knowledge of core concepts will be covered in the course along with implementation on varied industry use-cases.

Course Objectives

At the end of the course, participants should be able to: 
1. Master the concepts of HDFS and MapReduce framework 
2. Understand Hadoop 2.x Architecture 
3. Setup Hadoop Cluster and write Complex MapReduce programs 
4. Learn the data loading techniques using Sqoop and Flume 
5. Perform Data Analytics using Pig, Hive and YARN 
6. Implement HBase and MapReduce Integration 
7. Implement Advanced Usage and Indexing 
8. Schedule jobs using Oozie 
9. Implement best Practices for Hadoop Development 
10. Work on a Real Life Project on Big Data Analytics

Who should go for this course?

Predictions say 2015 will be the year Hadoop finally becomes a cornerstone of your business technology agenda. To stay ahead in the game, Hadoop has become a must-know technology for the following professionals:
1. Analytics Professionals 
2. BI /ETL/DW Professionals 
3. Project Managers
4. Testing Professionals 
5. Mainframe Professionals 
6. Software Developers and Architects 
7. Graduates aiming to build a career in Big Data

Why learn Big Data and Hadoop?

Forrester predicts, CIOs who are late to the Hadoop game will finally make the platform a priority in 2015. Hadoop has evolved as a must-to-know technology and has been a reason for better career, salary and job opportunities for many professionals. 
The following blogs will help you understand the significance of Hadoop training: 

What are the pre-requisites for this Course?

Knowledge of core java concepts is the pre-requisite for this course. We provide a complimentary course i.e. "Java Essentials for Hadoop" to all the participants who enroll for the Hadoop Training.

I am from Administration background, is the Big data and Hadoop course a right choice?

Professionals with Administration experience can take up "Hadoop Administration" course training. It will be a natural career progression. If you are planning for Big Data Architect role then you may consider both Hadoop developer and Hadoop Administration training, sequentially.

I am from Non-Programming background, is the Big data and Hadoop course a right choice?

Edureka has an interesting "Talend for Big data" course for professionals from Non-Programming background. Many professionals with experience in Mainframe, ETL, BI, DW domain opt for this course who want to learn Big Data using Talend tool.

How will I execute the Practicals?

For doing the practicals we will help you to setup Edureka's Virtual Machine in your System with local access. The detailed installation guides are provided in the LMS for setting up this environment. In case your system doesn't meet the pre-requisites e.g. 4GB RAM, you will be provided remote access to the Edureka cluster for the practicals. In case you come across any doubt, the 24*7 support team will promptly assist you.

What if I miss a class?

You will never lose any lecture. You can choose either of the two options: 
 1. View the recorded session of the class available in your LMS 
 2. You can attend the missed session, in any other live batch

What if I have queries after I complete this course?

Your access to the Support Team is for lifetime and will be available 24/7. The team will help you in resolving queries, during and after the batch.

How soon after Signing up would I get access to the Learning Content?

Post-enrolment, the LMS access will be instantly provided to you and will be available for lifetime. You will be able to access the complete set of previous class recordings, PPTs, PDFs, assignments. Moreover the access to our 24x7 support team will be granted instantly as well. You can start learning right away.

Is the course material accessible to the students even after the course training is over?

Yes, the access to the course material will be available for lifetime once you have enrolled into the course.

Who are the Instructors?

All our instructors are working professionals from the Industry and have at least 10-12 yrs of relevant experience in various domains. They are subject matter experts and are trained by Edureka for providing online training so that participants get a great learning experience.

Do you provide placement assistance?

Edureka is the largest online education company and lots of recruitment firms contacts us for our students profiles from time to time. Since there is a big demand for this skill, we help our certified students get connected to prospective employers. We also help our customers prepare their resumes, work on real life projects and provide assistance for interview preparation. Having said that, please understand that we don't guarantee any placements however if you go through the course diligently and complete the project you will have a very good hands on experience to work on a Live Hadoop project.

I have enrolled for a batch but I am unable to continue in the same batch. Can I reschedule it to a future date/batch?

Yes, it is possible. You can enroll now and can reschedule your classes in Future. You have complete Flexibility on this at Edureka. Also, you can check out our upcoming batches to know more about our future live batches.

Can I enroll now and take LIVE classes after a month or later?

Yes, you can enroll in the early bird batches and may join the classes later.

Can I get the recorded sessions of a class from some other batches before attending a live class?

Yes, this can be done. Moreover, this ensures that when you will start with your batch, the concepts explained during the classes will not be totally new to you. Because you would have already done some preparation at your end, you will be in the position to ask the right questions and get the most out of the course.

Which Case-Studies will be a part of the Course?

Towards the end of the Course, you will be working on a live project where you will be using PIG, HIVE, HBase and MapReduce to perform Big Data analytics. 
Here are the few Industry-wise Big Data case studies e.g. Finance, Retail, Media, Aviation etc. which you can take up as your project work:

Project #1: Analyze social bookmarking sites to find insights
Industry: Social Media
Data: It comprises of the information gathered from sites like reddit.com, stumbleupon.com etc which are bookmarking sites and allow you to bookmark, review, rate, search various links on any topic.reddit.com, stumbleupon.com, etc. A bookmarking site allows you to bookmark, review, rate, search various links on any topic. The data is in XML format and contains various links/posts URL, categories defining it and the ratings linked with it. 
Problem Statement: Analyze the data in Hadoop Eco-system to:
1. Fetch the data into Hadoop Distributed File System and analyze it with the help of MapReduce, Pig and Hive to find the top rated links based on the user comments, likes etc.
2. Using MapReduce convert the semi-structured format (XML data) into structured format and categorize the user rating as positive and  negative for each of the thousand links.
3. Push the output HDFS and then feed it into PIG, which splits the data into two parts: Category data and Ratings data.
4. Write a fancy Hive Query to analyze the data further and push the output is into relational database (RDBMS) using Sqoop.
5. Use a web server running on grails/java/ruby/python that renders the result in real time processing on a website.

Project #2: Customer Complaints Analysis
Industry: Retail
Data: Publicly available dataset, containing a few lakh observations with attributes like: CustomerId, Payment Mode, Product Details, Complaint, Location, Status of the complaint, etc. 
Problem Statement: Analyze the data in Hadoop Eco-system to:
1. Get the number of complaints filed under each products
2. Get the total number of complaints filed from a particular location
3. Get the list of complaints grouped by location which has no timely response

Project #3: Tourism Data Analysis
Industry: Tourism
Data: The dataset comprises attributes like: City pair (Combination of from and to), Adults traveling, Seniors traveling, Children traveling, Air booking price, Car booking price, etc.
Problem Statement: Find the following insights from the data:
1. Top 20 destinations people travel most : Based on given data we can find the most popular destinations where people travel frequently, based on the specific initial number of trips booked for a particular destination
2. Top 20 locations from where most of the trips start based on booked trip count
3. Top 20 high air-revenue destinations i.e which 20 cities generates high airline revenues for travel, so that the discount offers can be given to attract more bookings for these destinations

Project #4: Airline Data Analysis
Industry: Aviation
Data: Publicly available dataset which contains the flight details of various airlines like : Airport id, Name of the airport, Main city served by airport, Country or territory where airport is located, Code of Airport, Decimal degrees, Hours offset from UTC,  Timezone, etc.
Problem Statement: Analyze the airlines data to:
1. Find list of Airports operating in the Country
2. Find the list of Airlines having zero stops
3. List of Airlines operating with code share
4. Which country (or) territory has the highest number of Airports
5. Find the list of Active Airlines in the United States

Project #5: Analyze Loan Dataset
Industry: Banking and Finance
Data: Publicly available dataset which contains complete details of all the loans issued, including the current loan status (Current, Late, Fully Paid, etc.) and latest payment information.
Problem Statement: Find the number of cases per location and categorize the count with respect to reason for taking loan and display the average risk score

Project #6: Analyze Movie Ratings
Industry: Media
Data: Publicly available data from sites like rotten tomatoes, imdb, etc.
Problem Statement: Analyze the movie ratings by different users to:
1. Get the user who has rated the most number of movies
2. Get the user who has rated the least number of movies
3. Get the count of total number of movies rated by user belonging to a specific occupation 
4. Get the number of under age users

Project #7: Analyze YouTube data
Industry: Social Media
Data: It is about the YouTube videos and contains attributes like : VideoID, Uploader, Age, Category, Length, views, ratings, comments, etc.
Problem Statement: Find out the top 5 categories in which the most number of videos are uploaded, the top 10 rated videos, the top 10 most viewed videos
Apart from these there are some twenty more use-cases to choose from :
Market data Analysis
Twitter Data Analysis 
Olympics Data Analysis etc.

Can I work on my own Use-Case?

Sure, you can. You can either choose one of the Use-Cases from the Edureka Repository or create your own.

Drop Us a Query:

Course Features:

  • +  Online Classes: 30 Hrs
  • There will be 10 instructor led Interactive online classes during the course. Each class will be of approximately 3 hours and will happen at the scheduled time of the batch you choose. You have the flexibility to reschedule your class in a different batch if you miss any class. Class recordings will be uploaded in the LMS after the class. The access to class recordings is for lifetime.

  • +  Assignments: 40 Hrs
  • Each class will be followed by practical assignments which can be completed before the next class. We will help you setup a VM on your system to do the practicals. We shall also provide you remote access to our Hadoop Cluster on AWS. Our 24x7 expert support team will be available to help through email, phone or Live Support for any issues you may face during the Lab Hours.

  • +  Project: 20 Hrs
  • Towards the end of the course, you will be working on a project where you be expected to perform Big Data Analytics using Map Reduce, Pig, Hive & HBase. You will get practical exposure about Data Loading techniques in Hadoop using Flume and SQOOP. You will understand how Oozie is used to schedule and manage Hadoop Jobs. You will also understand how the Hadoop Project environment is setup and how the Test environment is setup.

  • +  Lifetime Access
  • You get lifetime access to the Learning Management System (LMS). The Class recordings and presentations can be viewed online from the LMS. The installation guides, sample codes and project documents are available in downloadable format in the LMS. Also, your login will never get expired.

  • +  24 x 7 Support
  • We have 24x7 online support team available to help you with any technical queries you may have during the course. All the queries are tracked as tickets and you get a guaranteed response from a support engineer. If required, the support team can also provide you live support by accessing your machine remotely. This ensures that all your doubts and problems faced during labs and project work are clarified round the clock.

  • +  Get Certified
  • Towards the end of the course, you will be working on a project involving analytics on a large  Data set . Edureka certifies you as a Big Data Expert based on the project review by our Expert Panel. Anyone certified by Edureka will be able to demonstrate practical expertise in Big Data and Hadoop.