Building Reliable Data Pipelines for Machine Learning

Join us for this webinar and hear Ryan Fox Squire, Product and Data Scientist at SafeGraph, discuss how we reduced processing time by 95% and optimized model training to process the a full dataset in 30 minutes instead of 6 hours.

Attendees to this webinar will learn how:

  • SafeGraph experimented with multiple methods to build machine learning pipelines, and the lessons learned at each step of the process
  • Pipelines are created to build datasets that are sold for market analysis, competitive analysis, trade area analysis, and real estate site selection (and get a coupon to access $100 worth of data for free)
  • Data is aggregated and machine learning is applied to solve problems, and how it's optimized to lower TCO


Ryan Fox Squire

Product and Data, SafeGraph

Brian Dirking

Sr. Director of Partner Marketing, Databricks

Watch The Recording

Lessons Learned

Learn how SafeGraph uses Databricks for their data pipelines

Free Coupon

By watching this webinar, you'll get access to free data with a coupon code

Machine Learning

See which problems SafeGraph solves with machine learning