SESSION

CPChem: Amplifying Value of Timeseries by Combining Seeq and Databricks

OVERVIEW

EXPERIENCEIn Person
TYPEBreakout
TRACKData Strategy and Lakehouse Implementation
INDUSTRYEnergy and Utilities, Manufacturing
TECHNOLOGIESDelta Lake, SQL Analytics / BI / Visualizations
SKILL LEVELIntermediate
DURATION40 min

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.

SESSION SPEAKERS

Brent Railey

/Chief Data & Analytics Officer
Chevron Phillips Chemical Company

Chris Herrera

/Head of API and Interoperability
Seeq Corporation