Rue Gilt Groupe, an e-commerce organization, has over 100,000 products that turn over every day. Turning over these products requires analyzing large changing data sets about customer preferences, that require constant tuning of the overall recommendation engine to serve these products to customers.
Watch now to hear from Rue Gilt Group's Stephen Harrison, Architect, and Peter Connolly, Principal Software Engineer discuss how Rue Gilt Groupe was able to:
- Gather, transform and load massive amounts of constantly changing data
- Identify a dynamic cloud-based data warehouse that could serve as their overall data platform for large data sets
- Select an analytics engine that could provide the scale and collaborative features to quickly create, test and deploy machine learning models