Are you interested to work on a live project in Big Data Hadoop? Then, this workshop
helps you to work and add to your resume.
Do you want to accelerate your career with hands on Big Data Hadoop projects?
Are you interested to learn or learning Big Data Hadoop course and want to have an hands on experience in Big Data Hadoop projects?
Hands on experience on big data Hadoop projects will also make you understand the theoritical concepts even better.
Attend the workshop and gain extensive knowledge on Big Data Hadoop projects which can enhance your career.
The project details are below:
Project 1: Real Time Twitter Data Acquisition
Industry: Social media
Data: You can build a listening platform based on Twitter data analysis. If a company wants to understand what people think about their products or services and what the sentiments of their customers are, they can turn to social media platforms like Twitter. To extract the comments that are related to the company, its products or brands, Hadoop can be used to gather that data and run some analysis on that data. This kind of analysis is useful for the company for marketing campaigns and customer support. This will help curb dissatisfied customers leaving bad comments in social media which could affect their brand.
Project 2: Airline Data Analysis
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, Time zone, etc.
Problem Statement: Analyze the airlines data to: (Example Questions)
Find list of airports operating in the country
Find the list of airlines having zero stops
List of airlines operating with code share
Which country (or) territory has the highest number of airports?
Find the list of active airlines in the United States
Project 3: Data Analysis on Medicare Data.
Industry: Healthcare sector
Data: To covert the semi-structured log data into structured data and storing it efficiently. To pre process the stored access log datasets which includes removal of noisy data. Detailed analysis of web server logs to extract valuable information. To generate statistical reports using a report designer tool.
Are you ready to work on these projects?
Electronic Device Requirement: 3GB RAM, 64 bit, Windows7 (or) later, 40 GB HOD, Laptop Mandatory.Timings: 9:30 AM to 4:30 PM. 6 hours of Practical and only 1 hour of theory.