In 2026, data engineering isn't just about managing data-it's about building intelligent systems that power business strategy. Companies are moving beyond batch warehouses to real-time, cloud-native ...

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 ...

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 ...

Every day, businesses depend on data to operate. Customer orders, quotes for new business, conversations around products, campaigns for marketing—pretty much every business process today is based on ...

The rise of artificial intelligence(AI) is fundamentally changing the world of data analytics and data engineering. Advanced AI systems—AI agents that autonomously act, starting to change how ...

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 ...

Generative AI Build deep expertise in AI & Deep Learning with a strong foundation in core models, LLMs, and prompt engineering. This course goes beyond theory, covering model fine-tuning, AI ...