Maybe you've heard of this new thing: the “independent data layer.” But, what is it? How does it work? And why the heck should you care? Think of all the things you do today in buildings. Or maybe all ...

As regulatory agencies catch up with the information age, thoughtful data historization is becoming more vital to the normal operation of any good-practice facility. Pharmaceutical companies now hoard ...

Every telecom system is bursting with information about subscribers, services and devices—not to mention the telco's network equipment and operational status. This data is both sensitive and necessary ...

In today’s computing environment, businesses must revamp their data architecture, as it’s essential not only for technological advancement, but also for enhancing enterprise capabilities and ...

For more than 20 years we have been using Layer 3 connectivity powered by dynamic routing protocols to route traffic between data centers, but adoption of virtualization and geo-clustering ...

The modern enterprise is comprised of a complex set of application stacks that span a disparate variety of virtual machines, physical servers, and proprietary storage hardware. Tentacles reach from ...

Digital transformation is a hard and long endeavor, especially for companies with legacy technology stacks, processes or cultures. However, it is no longer a discretionary initiative. Digitization is ...

Google is adding new features to Data Layers in its JavaScript Maps API, which will allow developers to build a new breed of interactive apps that collect geographical data input from users. With the ...

Semantic layers stand out as a key approach to solving business problems for organizations grappling with the complexities of managing and understanding the meaning of their data. A semantic layer, ...

GraphQL seems to be spreading like wildfire, and there's a reason for that. As REST APIs are proliferating, the promise of accessing them all through a single query language and hub, which is what ...