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 ...
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 ...
The U.S. Department of Energy building is seen behind a sign marking the location of the agency's headquarters on March 18, 2025, in Washington, D.C. (Photo by J.David Ake/Getty Images) The Department ...
“The impact is absolutely worth the hype, it’s literally all anyone is talking about within the energy industry itself,” Baranko explained when asked whether the surge in AI data centers is really ...
In this episode, we talk to Kyle Baranko, Head of Product at Paces, about how the explosive growth of AI is reshaping the clean energy landscape. From off-grid solar microgrids to the future of small ...
AI and Data Engineering are two of the fastest-growing career paths in the tech industry, creating countless opportunities for professionals in 2026. If you dream of working with big data, cloud ...
Join Joshua Brooks and other industry experts at POWERGEN 2026, Jan. 20–22 in San Antonio, Texas. Explore the full conference lineup and register today. Data centers are reshaping the power market, ...
As AI becomes central to the enterprise, data engineers are stepping out from behind the scenes to help shape AI strategy and influence business decisions. In partnership withSnowflake As ...
End-to-end Weather ETL built with Apache Airflow, MinIO, and PostgreSQL. Extract Open-Meteo hourly data → normalize to Parquet → load to L1/L2 tables with idempotent, backfillable DAGs, simple data ...
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