A Case Study: Data Visualizations and Insight Into How America Eats at Restaurants
David Hwang
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?"

Level : Overview