Real-time data processing is the handling of data as it arrives, so it is available for use almost as immediately as it is created and collected. This term is most often used in the context of a ...

Which is more important – understanding what happened to your business last week or understanding what's happening right now? Well, both can provide useful insights that you might be able to use to ...

Google does not always get things right, or get to things first. But when Google sets its sights on something, you know that something is about to attract interest. With Google having just announced ...

Traditional cloud computing faces various challenges when processing large amounts of data in real time. 'Edge' computing is a promising alternative and can benefit from devices known as physical ...

The value of edge AI within various industries. How edge AI utilizes machine learning. Which hardware works best with edge AI workloads. From smart-home assistants (think Alexa, Google and Siri) to ...

Real-time data streaming is still early in its adoption, but over the next few years organizations with successful rollouts will gain a competitive advantage Today, there are many data sources—such at ...

Real-time data processing is hot. Pioneers like Netflix have been doing it for years and reaping the benefits. Big on Data has been onto this for years, too. Now the rest of the world seems to be ...

Notifications are a fundamental building block for improving enterprise speed and efficiency, but only if the system is correctly architected with volume and velocity in mind There was a time when ...

Mukul Garg is the Head of Support Engineering at PubNub, which powers apps for virtual work, play, learning and health. In my journey through data engineering, one of the most remarkable shifts I’ve ...