Percona recently announced OpenEverest, an open-source platform for automated database provisioning and management that ...

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 has acquired US-based startup Osmos and will integrate its agentic AI data engineering platform into Microsoft Fabric, enabling organisations to analyse and share data more easily. Osmos ...

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 ...

GeekWire chronicles the Pacific Northwest startup scene. Sign up for our weekly startup newsletter, and check out the GeekWire funding tracker and VC directory. by Taylor Soper on Jan 5, 2026 at 2:28 ...

Today, Microsoft is announcing the acquisition of Osmos, an agentic AI data engineering platform designed to help simplify complex and time-consuming data workflows. Microsoft + Osmos: Extending ...

Electrical substation infrastructure increasingly sits at the front of data center project planning as utilities tighten grid access and require major power upgrades ...

The world is gearing up for the generative AI boom, for better and worse. Scientists are warning that AI will create a massive, unsustainable energy demand. The data centers used to train and run ...

Materials informatics sits at the intersection of experimental science, computation, and data analytics. The aim is simple: use data and models to make discovering, designing, and deploying new ...

Design and implement an end-to-end ETL (Extract, Transform, Load) pipeline using SQL for data extraction and transformation, and Python for orchestration and automation. Use any open dataset (e.g., ...

Millions of users work with SQL to keep the gears of their business turning. In an era marked by relentless digital transformation, the proliferation of AI workloads, and tightening regulatory demands ...