As enterprises race to deploy agents, shift from pilot projects to production, and scale, they face the reality that data integration and AI stacks remain deeply disconnected. The result is AI supply ...

Though the AI era conjures a futuristic, tech-advanced image of the present, AI fundamentally depends on the same data standards that have been around forever. These data standards—such as being clean ...

KDNuggets, a community site for data professionals, ranked “We Don’t Need Data Scientists, We Need Data Engineers,” by Mihail Eric, a venture capitalist, researcher, and educator, as its top story of ...

For years, the industry standard for data ops has been a ticket-based service bureau. A product manager wants a new dashboard? Ticket. A data scientist needs a new feature pipeline? Ticket. A ...

SQL has dominated data querying for decades. Newer query languages offer more elegance, simplicity, and flexibility for modern use cases. For the last three decades, databases and Structured Query ...

Offered: Winter (TTh 12:30-1:50 p.m.) and Spring (TTh 9:30-10:50 a.m.) Data Engineering Studio teaches how to build a sustainable data science lifecycle. Students will analyze data in multiple ...

Four key considerations to keep in mind when you need a database designed for analytical queries of vast quantities of time series data. SQL often struggles when it comes to managing massive amounts ...

Are you ready to build the data backbone behind one of the world’s most iconic alcohol brands? Our client a global powerhouse in brewing, manufacturing, and distribution is looking for a Senior Data ...