data can be defined consistently and delivered reliably. Figure 1: Centralized model for data & analytics management In practice, however, there’s a few big problems with this approach.

OpenTelemetry has made it possible to manage telemetry data, something that was never possible before. At the core of ...

The emergence of the hybrid work model has delivered benefits ... and storing vast amounts of information efficiently.

Centralized processing also helps predictive ... exposure since it handles only required data locally and sends chosen information to the cloud. Each model fits different types of IoT applications.

The new satellite constellation demonstrates next-generation distributed computing with the potential to transform global ...

As utilities typically have technology assets dispersed across broad geographical areas—often in remote, inhospitable locations—this computing model ... central location for processing. When ...

“Edge,” in the context of Ditto’s industry, refers to a distributed computing model that brings data processing and ... rather than having to rely on centralized data centers and cloud ...

Expanso takes a decentralized approach to this challenge by providing enterprises with Bacalhau — an open-source distributed data processing platform. The offering runs on the distributed ...

A document data model removes that requirement. The Ditto databases running on a company’s edge devices can regularly sync their contents to a centralized data processing environment.

New Delhi: India’s upcoming central data processing centre will ensure quick and objective approval of corporate filings by taking over the task from scattered regional offices, a person aware ...