The Ultimate Semantic Layer for Your Lakehouse

Innovative companies like Databricks and their lakehouse approach help organizations simplify their data architecture by unifying their data, analytics, and AI workloads on a common platform. However, to deliver ROI for an organization, datalakes need to demonstrate business value. That means being able to answer complex questions by connecting relevant data elements and providing true context and greater meaning to data by modeling relationships.

Watch this on-demand webinar to see how Stardog’s Enterprise Knowledge Graph powers a “missing middle” semantic data layer to accelerate returns from your datalake investment. By connecting enterprise data and overlaying business semantics, knowledge graphs facilitate more agile data operations, reduce the cost of data integration, and help generate powerful insights into complex business challenges.


More resources: