Creating Knowledge Graphs via a Symbiosis of Data Science and Data Engineering

Reonomy’s knowledge graph connects the world of commercial real estate; moving paper-heavy, manually collected intelligence into the 21st century. The resulting breadth and depth of perspective creates an explosion of opportunity for brokers, bankers, roofers, cellular service providers, investors and many more. It levels the playing field in an industry where there has historically been an impossibly high barrier to entry. All of the components of our knowledge graph have machine learning algorithms embedded in our production pipelines, bringing scalability challenges that have implications which may surprise you – on everything from the algorithms themselves, to the cluster configurations. This talk will cover architectural best practices and how we address these problems at scale.