Industry: Social Media

Data: It comprises of the information gathered from sites like reddit.com, stumbleupon.com 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 the Hadoop ecosystem to:

1. Fetch the data into a 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 a 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.

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 the Hadoop ecosystem to:

1. Get the number of complaints filed under each product
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

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 frequently travel to: 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 the 20 cities that generate high airline revenues for travel, so that the discount offers can be given to attract more bookings for these destinations.

Industry: Aviation

Data: Publicly available dataset which contains the flight details of various airlines such as: 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

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.

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 count of total number of movies rated by user belonging to a specific occupation
3. Get the number of underage users

Data: It is about the YouTube videos and contains attributes such as: VideoID, Uploader, Age, Category, Length, views, ratings, comments, etc.

Problem Statement: Identify the top 5 categories in which the most number of videos are uploaded, the top 10 rated videos, and the top 10 most viewed videos.

For your practical work, we will help you set up a virtual machine in your system. For VM installation, 8GB RAM is required. You can also create an account with AWS EC2 and use 'Free tier usage' eligible servers to create your Hadoop Cluster on AWS EC2. This is the most preferred option and TechyBees provides you step-by-step procedure guide which is available on the LMS.

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 Techybees for providing online training so that participants get a great learning experience.

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 course.

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.

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.

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.

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

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

These classes will be completely Online Live Instructor-led Interactive sessions. You will have chat option available to discuss your queries with instructor during a class.

You can do that by posting a question on the training blog.

You can give us a CALL at +1- 603-689-9045 OR email at info@techybees.com

Yes, we do schedule free demo sessions before we start any new batch. However, you can go through the sample class recordings and it would give you a clear insight about how are the classes conducted, quality of instructors and the level of interaction in the class.

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

Depending on the batch you select, Your Live Classes will be held either every weekend for 5 weeks or for 15 weekdays. It would typically be 6-7 hours of effort needed each week post live sessions. This shall comprise hands-on assignments.

1 Mbps of internet speed is preferable to attend the LIVE classes.

Techybees is committed to provide you an awesome learning experience through world-class content and best-in-class instructors. We will create an ecosystem through this training, that will enable you to convert opportunities into job offers by presenting your skills at the time of an interview. We can assist you on resume building and also share important interview questions once you are done with the training. However, please understand that we are not into job placements.

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