Databricks’ Delta Lake has become popular thanks to the wide range of advanced capabilities it brings to datalakes. While Delta Lake excels in gathering and organizing data to enable convenient access, organizations turn to Timbr to enhance Delta Lake with a semantic business layer.
This layer is comprised of abstract concepts embedded with relationships and logic that provide common meaning, classification, and hierarchies to the underlying data, transforming Delta Lake into a scalable semantic knowledge graph.
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Timbr’s semantic graph data management platform seamlessly connects with Databricks’ Delta Lake, enabling users to connect Databricks as their data source and use Delta tables to create detailed semantic models for easier data access for BI, data science, and applications.
In addition, Timbr offers advanced data visualization and exploration capabilities, making it easy to see and understand data connections, while enabling flexible data queries using no-JOINs SQL, Python, Scala, and Java, so that any user at any level can analyze data and find useful insights while still benefiting from Delta Lake’s advanced features.
Ready to improve your data management? Discover how Timbr’s Databricks Semantic Lakehouse can change your approach, offering integrated insights and unmatched analysis capabilities.
Contact us today to upgrade your Delta Lake and start delivering strategic value from your data, fast and with minimal effort.
How do you make your data smart?
timbr virtually transforms existing databases into semantic SQL knowledge graphs with inference and graph capabilities, so data consumers can deliver fast answers and unique insights with minimum effort.
