From Batch to Real Time: Overstock’s Journey Towards Unifying Analytics Across Data Engineering and Data Science - Databricks

From Batch to Real Time: Overstock’s Journey Towards Unifying Analytics Across Data Engineering and Data Science

With great data, comes great responsibility. At Overstock.com, lack of data has never been an issue. We know everything from the color you search most, to which room you’ll redesign next. We can see individuals transition from furnishing their first flat to building their dream home, but processing this data requires some serious firepower. It has fueled our focus on delivering real-time personalization through the unification of data and AI. Databricks is at the crux of this vision – empowering us to leverage cloud-scale with a platform that simplifies data engineering and increases the productivity of our data science team.

Tune in as Chris Robison takes you through marketecture innovations in building a successful marketing technology infrastructure for instantaneous individualized marketing experiences.

About Chris Robison

Chris Robison serves as the Lead Data Scientist for Digital Marketing and Fraud Prevention at Overstock, where he and his team utilize big data and machine learning to create personalized shopping experiences for customers. He works extensively on display, PLA, and Paid Keywords leveraging modeling techniques from classical time series to cutting-edge Artificial Intelligence. Prior to joining Overstock in 2016, Chris gained widespread experience at early-stage startups using Spark and building out data science frameworks and solutions. He graduated from the University of Utah with dual Masters Degrees in Computer Science and Statistics.