Data work in 2026 asks for more than chart building. Professionals are expected to clean data, query databases, explain ...

Explore 6 job-ready courses from Great Learning Academy Pro+ in collaboration with Microsoft. Learn Excel, SQL, Power BI, and ...

Partitioned Compute is a new feature in Fabric Dataflows that allows you to run certain operations inside a Dataflow query in ...

Data analytics studies existing business data to identify patterns, trends, and insights that support better decisions.Data ...

Perplexity announced Computer for Enterprise at its Ask 2026 developer conference, launching a multi-model AI agent with ...

I have been spending a lot of time recently investigating the new performance-related features that have rolled out in Fabric Dataflows over the last few months, so expect a lot of blog posts on ...

👉 Learn how to find all the zeros of a polynomial in the form of the difference of two squares. A polynomial is an expression of the form ax^n + bx^(n-1) + . . . + k, where a, b, and k are constants ...

The job market for professionals with Structured Query Language (SQL) skills is experiencing a robust and growing demand across a variety of industries, making now a great time to pursue training in ...

Vena, the only complete FP&A platform powered by agentic AI and purpose-built to amplify the Microsoft technology ecosystem, today announced it has entered into a definitive agreement to acquire ...

An internal memo changed the standard from whether people are unlikely to show up for hearings to whether they could leave the scene. By Hamed Aleaziz and Charlie Savage Reporting from Washington Amid ...

Opinions expressed by Entrepreneur contributors are their own. Most entrepreneurs use AI like a spellchecker and then wonder why nothing changes. In 2026, leverage beats hustle. I’ll walk you through ...

O n a Tuesday at the end of last semester, I asked my first-year writing class how they were using AI in their courses. One of my strongest students raised her hand. She admitted, almost sheepishly, ...