Databricks says new products LTAP and Lakehouse//RT unify transactional and analytical data for AI agents, delivering sub-100ms latency and no ETL pipelines.
The Linux Foundation launched the OpenSharing Project on June 10, 2026, giving enterprises building agentic AI a single open protocol to share AI models, agent skills, and unstructured data across any ...
The Linux Foundation's newest project takes a proven enterprise data sharing protocol and stretches it across AI models, ...
The batch pipeline highlights the integration of OLTP and OLAP systems. It starts by extracting data from MongoDB, processing it using Spark, and loading it into S3 for further OLAP operations. Note: ...
Nasdaq consolidated enterprise and market data on Databricks to improve governance, speed product development and support AI ...
One of the latest initiatives focuses on enabling AI agents to interact more effectively with telecom data and operational ...
Press ReleaseNokia, Databricks demonstrate unified data platform for autonomous networks Proof of concept validates cloud-agnostic approach for ...
ZoomInfo's verified company, contact, and signal data now flows natively into the Databricks lakehouse through GTM.AI, so every model, score, ...
Databricks launched CustomerLake, an agentic CDP unifying customer data, AI, identity resolution & activation for always-on ...
Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...
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