Databricks said it raised $5 billion in funding and $2 billion in new debt capacity at a $134 billion valuation. The company also said its annualized revenue exceeded $5.4 billion for the January ...

. ├── CHANGELOG.md # Project changelog — version history and updates ├── CONTRIBUTING # Contribution guidelines (commits, PRs, conventions) ├── LICENCE # Project license and usage permissions ├── ...

Microsoft has acquired Osmos to bring autonomous, agentic data engineering into Microsoft Fabric. Osmos technology automates data preparation and transformation within Fabric workflows. The ...

The acquisition could help enterprises push analytics and AI projects into production faster while acting as the missing autonomy layer that connects Fabric’s recent enhancements into a coherent ...

Microsoft is acquiring AI platform Osmos to integrate autonomous "Agentic AI" workflows and automated data ingestion directly into Microsoft Fabric. Microsoft has acquired Osmos, an AI-driven data ...

Microsoft (MSFT) announced today it has acquired Osmos, an agentic artificial intelligence data engineering platform designed to simplify complex data workflows. No financial details on the ...

The Midwest is a fast-growing hub for data centers, with companies seeking cheaper land outside of Chicagoland. Illinois' Biometric Information Privacy Act (BIPA ...

Latest valuation a jump from $100 billion in August Databricks surpasses $4.8 billion revenue run rate in Q3 Funds to be used to expand research and for talent retention Company delivers positive free ...

Data is called an asset, but only if you can use it. In its original form, it's not. Data engineering is the process that makes it usable. It involves moving, cleaning, and organizing. This creates ...

NextEra and Exxon are developing a 1.2 gigawatt power plant that combines gas generation with carbon capture technology. NextEra plans to pitch the data center site to a hyperscaler. There is no ...

Data engineering is the gritty, often unglamorous work that underpins every AI model, every dashboard, and every strategic data driven decision. For years, we treated our data lakes like giant, messy ...