Working with a certified implementation partner is a risk mitigation strategy that ensures the Lakehouse is not only deployed but also optimized for scalability, security, and cost efficiency from day ...

In 2026, the competitive edge isn't where your data sits, but how fast it moves. We compare how the top five platforms are ...

Research reveals that LeapLogic delivers significantly higher conversion accuracy, faster transformation and time ...

New capability unifies in-flight data preparation with AI agent development, cutting AI development timeSAN FRANCISCO, Feb. 24, 2026 (GLOBE NEWSWIRE) -- The leading cause of AI project failure is data ...

Prophecy v4 brings an agent-driven, human-in-the-loop workflow to data prep & analysis. Users describe business intent, agents generate workflows as code, validate results by compiling and running ...

Generative AI Build deep expertise in AI & Deep Learning with a strong foundation in core models, LLMs, and prompt engineering. This course goes beyond theory, covering model fine-tuning, AI ...

Databricks is having one of those years that most enterprise software companies would quietly envy. The data and AI platform says it has reached a $5.4bn annual revenue run rate, growing 65% year over ...

Databricks claims AI agents have quietly taken over enterprise database creation, pushing its Lakebase product to the center of agentic application development.

The deal positions Snowflake to compete with Databricks in AI while giving OpenAI enterprise distribution beyond Microsoft’s ecosystem.

Five years ago, Databricks coined the term 'data lakehouse' to describe a new type of data architecture that combines a data lake with a data warehouse. That term and data architecture are now ...