LTAP is the name of Databricks' new architecture, with which operational databases and analytical systems should only require ...

Databricks declares the end of pipelines with a unified platform for operational and analytical data - SiliconANGLE ...

At Data + AI Summit, Databricks CEO Ali Ghodsi unveiled LTAP, a new architecture that collapses the 40-year unification ...

Databricks says new products LTAP and Lakehouse//RT unify transactional and analytical data for AI agents, delivering sub-100ms latency and no ETL pipelines.

By merging transactional and analytical workloads, LTAP promises fewer pipelines, lower costs, and better governance.

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

Visier augments every Databricks deployment to provide a rich semantic layer for workforce data, built for the era when every major AI initiative runs through the lakehouse, ending years of logic debt ...