In a data-driven world, pauses in government economic data do more than inconvenience economists, they create dangerous blind spots for investors and business leaders.

Here's how banks can turn fragmented compliance efforts into a scalable, auditable operating model that delivers faster ...

Tamed DB sprawl and saved cloudy resources with 'X-Stor' Exclusive Chinese web giant Tencent has revealed it created a NoSQL database that it believes can handle multiple data models more elegantly ...

Artificial intelligence is growing fast, and so are the number of computers that power it. Behind the scenes, this rapid growth is putting a huge strain on the data centers that run AI models. These ...

The ongoing government shutdown has delayed the official third-quarter GDP report release, although real-time estimates from ...

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 ...

Distributed database consistency models form the backbone of reliable and high-performance systems in today’s interconnected digital landscape. These models define the guarantees provided by a ...

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, ...

The Atlanta Fed’s Oct. 17 update revealed consumer spending growth ticking up to 3.3% while private investment jumped to 4.4% ...

A guide to the 10 most common data modeling mistakes Your email has been sent Data modeling is the process through which we represent information system objects or entities and the connections between ...