Category: data management

Data is accelerating and accumulating by the second. Here's how every enterprise can take a data-driven approach to fuel intelligence.

The waters of the data lake may seem untested, but vendors and enterprises that don’t take the plunge won’t fulfill their data potential.

Neither Wi-Fi nor cellular networks will overtake the other. Why we will see something incredible emerge from their convergence.

When enhanced by the rich, self-describing nature of semantic knowledge graphs, data mesh and data fabric can greatly complement one another.

California-based Acceldata, which provides a data observability platform for enterprises, today expanded its offering with new low-code/no-code capabilities aimed at simplifying how teams ensure data reliability. Acceldata seeks to meet…

How everything-as-a-service helps orgs become better problem-solvers, anticipate risk and offer creative digital solutions.

With the right balance of technology, tools and strategy, enterprises can break down data barriers and close departmental information gaps.

Business logic is all about the expectations, results and objectives that software, automation or data process need or wish to achieve.

A look at how AI and ML-driven techniques can address data management challenges for modern enterprises.

Startup pgEdge, with a fully distributed database for use in the cloud and at the network edge, emerged from stealth with $9M in seed funding.