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

Today’s analytical requirements are putting unprecedented pressures on existing data infrastructures. Performing real-time analytics across operational and stored data is typically critical to success ...

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

As enterprises rush to build AI agents that can reason over business data and take action, Databricks argues that the long-standing practice of separating operational and analytical data systems is ...

Hybrid transactional/analytical processing (HTAP), or hybrid operational analytical processing (HOAP), is the ability to perform real-time analysis on centralized ...

Businesses can get a decent idea of how they are doing in operations by examining internal company data through reports and graphs. However, sometimes those close to the company don't review this data ...

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

It is an unfortunate result of being human that we are biased by our first impressions. For example, we are often blinded when we encounter a subject area’s data for the first time. The initial data ...

Discover how bioprocessing technology industrial applications expand as fermentation, membrane filtration, PAT, and ...