A Case Study: Data Visualizations and Insight Into How America Eats at Restaurants
This tutorial will discuss the pains and lessons learned from building out a database that collects data from thousands of restaurants across North America on a nightly basis. The challenges of integrating data from disparate Point of Sales systems, data cleaning, data normalization, ETL and generating insight will all be discussed.
Additional topics include:
- Why choose open source?
- Why pick Mongo?
- What's up with ZFS?
We'll wrap up by covering lessons learned and "What's next?"