A BigData pipeline for DotA2
This project was implemented as a part of the Big Data Engineeting and Architechture course at Univeristy of Minnesota
This project’s objective is to design and develop a system that can take a look at the data generated by people playing the game of DotA2 and perform analytics-at-scale on it. The aim is to provide general global-level statistics on the game (descriptive analysis), insight on the latest trends followed by the players, as well as look into how the system can provide suggestions and strategy on how to play better (predictive analysis).
Refer the final documentation to get detailed information about the project.