This report looks at six major trends in how pipelines and the practices of data engineering are changing to deliver more value and support future agentic AI applications.

Typically, what most validation pipelines do when there’s a failure is report some kind of error code or even a line number and leave a human to make sense of what ...

Enterprise AI in Practice Assessment NEW! TDWI’s new Enterprise AI in Practice Assessment can help organizations understand their current position across today's major AI technologies. The assessment ...

There are numerous rapidly evolving technologies for analyzing data and building models. In a remarkably short time, they have progressed from desktops to massively parallel warehouses with huge data ...

Let your résumé show that your in-depth knowledge has been certified by TDWI, the industry’s premier provider of data and analytics education. Recognized by CIO Magazine as the top business ...

Kalido last week announced an all-in-one analytic system—from hardware to software to services—targeted at the pharmaceutical and insurance industries. This newfangled packaged analytics application ...

There was a time when choosing a programming language for data analysis had essentially no choice at all. The tools were few and they were usually developed and maintained by individual corporations ...

In today's complex data environment, successful data management is about more than just storage. It’s about ensuring data quality, compliance, and seamless integration. This page offers the latest ...

Every day, your contact center captures millions of customer interactions. These conversations are among the most valuable intelligence your business holds; they show how customers experience your ...

Question any data group about how they spend their time and they will all say the same thing: dealing with data, not actually using it. To solve this issue and speed up our data management, the ...