One key to efficient data analysis of big data is to do the computations where the data lives. In some cases, that means running R, Python, Java, or Scala programs in a database such as SQL Server or ...

Using SSDT means we don't just shout orders at the database; instead, we plan what we're going to say. For almost 13 years, Microsoft has tried to make Visual Studio a place where developers can do ...

SQL, the Structured Query Language, remains one of the most widely used programming languages, coming in fourth in Stack Overflow’s research for 2023. Just over half (51.52%) of professional ...

Data modeling tools play an important role in business, representing how data flows through an organization. It’s important for businesses to understand what the best data modeling tools are across ...

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

Last month, Microsoft announced Data Amp, a online event focusing on its Data Platform and AI initiatives. Data Amp is taking place today, and with it come a slew of announcements. Python has emerged ...

One of the biggest challenges facing organizations today is making sure that the right information gets to the right people. It requires attention, diligence, and planning to ensure that data is used ...

One of the critical decisions facing companies embarking on big data projects is which database to use, and often that decision swings between SQL and NoSQL. SQL has the impressive track record, the ...

Even as large language models have been making a splash with ChatGPT and its competitors, another incoming AI wave has been quietly emerging: large database models. Even as large language models have ...