At its heart, data modeling is about understanding how data flows through a system. Just as a map can help us understand a city’s layout, data modeling can help us understand the complexities of a ...

Dr. Chris Hillman, Global AI Lead at Teradata, joins eSpeaks to explore why open data ecosystems are becoming essential for enterprise AI success. In this episode, he breaks down how openness — in ...

Data modeling, at its core, is the process of transforming raw data into meaningful insights. It involves creating representations of a database’s structure and organization. These models are often ...

Let’s not deny it; we’ve all been captivated by the elegant symmetry of Data Products. If you haven’t encountered them yet, you might be living under a rock. But don’t worry, before we delve into ...

Data modeling is the procedure of crafting a visual representation of an entire information system or portions of it in order to convey connections between data points and structures. The objective is ...

The following article is an excerpt (Chapter 3) from the book Hands-On Big Data Modeling by James Lee, Tao Wei, and Suresh Kumar Mukhiya published by our friends over at Packt. The article addresses ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

It's long been a mantra in the fintech community: Traditional underwriting models that rely heavily on conventional credit scores leave out people who haven't built up a credit history. A percentage ...

Tonic Textual’s new Custom Entity Types let teams define, train, and deploy entity models on their own data—no data science skills needed.