The agentic SIEM shifts costs from ingestion to compute, promising cheaper retention and deeper analytics on enterprise ...

Discover the top data engineering tools that will revolutionize DevOps teams in 2026. Explore cloud-native platforms designed ...

With Lakewatch, Databricks presents an open SIEM based on Lakehouse. AI agents are intended to automatically detect and ...

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 ...

This connector is designed to be deployed using the official Databricks UI or CLI tools. See OFFICIAL_APPROACH_GUIDE.md for complete setup instructions. airtable-connector/ ├── sources/ # Connector ...

Databricks and Snowflake are at it again, and the battleground is now SQL-based document parsing. In an intensifying race to dominate enterprise AI workloads with agent-driven automation, Databricks ...

This was originally posted in dbt-databricks project and I was asked to cross post i here. Related to: databricks/dbt-databricks#1246 When running dbt in an Azure Devops Agent (for continues ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

Python A2A is an implementation of Google’s Agent-to-Agent (A2A) protocol, which enables AI agents to communicate with each other using a shared, standardized format—eliminating the need for custom ...

Microsoft announced on Tuesday the public preview of a native Azure Databricks Connector in Power Platform, enabling what the company said is seamless, governed access to Databricks data without data ...

Get started with the latest updates today! Jump into Power Apps to try the latest updates, you can use an existing environment or get started for free using the Developer plan. We are excited to ...