CPChem: Amplifying Value of Timeseries by Combining Seeq and Databricks

As the concept of the "cloud lakehouse" matures and develops, Databricks has emerged as the key player in this space. Databricks is excellent at applying large-scale compute to data engineering, data science, and AI problems. Seeq is a specialized time-series analytics tool that possesses out-the-box connectivity to industrial data sources. Combining Seeq with Databricks together at Chevron yielded tremendous benefits--with Seeq being both a provider and a customer to the Databricks Lakehouse. This session will outline the technical patterns and practices, along with lessons learned, for Databricks customers to scale-up their industrial IOT analytics & machine learning capability. This session will be delivered at an intermediate technical level, and it will showcase business value and novel business use cases.