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 ...

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 ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

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 ...

Artificial intelligence has been around in different forms for decades, but only now is it truly coming of age. AI experiments have made it out of the lab and are now being deployed into the real ...

Enterprises are creating huge amounts of data and it is being generated, stored, accessed, and analyzed everywhere – in core datacenters, in the cloud distributed among various providers, at the edge, ...

An enterprise conceptual data model is often seen as a high mountain to be climbed, a journey that will last a lifetime. People have visions of 10 feet or more of wall in the corporate offices ...

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 ...

Jeff Carpenter is a technical evangelist at DataStax. The past 10 years have seen the explosive growth of large-scale distributed systems. This trend has produced a whirlwind of creativity in the ...

Amid mounting digital transformation pressures, the top two categories for increased IT spending in 2019 are cloud computing—and on-premises data analytics, according to a recent Morgan Stanley survey ...