Swim enhances the actor model to support continuous analysis of streaming data from millions of sources in a distributed runtime environment - using Java. Swim is the easiest way to …

Analyzing data on the fly is tricky: Data sets are unbounded and real-time responses demand fast analysis. Incremental algorithms can be used for statistical analysis, set membership, regression-based learning, and …

Streaming data contains events that are updates to the states of applications, devices or infrastructure. When choosing an architecture to process events, the role of the broker, such as Apache …

The rise of event streaming as a new class of enterprise data that demands continuous analysis is uncontroversial. What’s puzzling is the approaches being taken by the event streaming community …

One of the most frequently discussed features of 5G, beyond increased bandwidth, is the opportunity for carriers to deliver secure, isolated, QoS-assured network services. A customer can avoid the complexity …

Introduction Next-gen mobile networks have a unique opportunity to deliver powerful services that take advantage of low-latency to devices, high bandwidth networks, and edge computing to deliver services that are …

Streaming data contains events that are updates to the states of data sources. When choosing an architecture to process it, the role of an event broker, like Apache Kafka or …

Streaming events are updates about the states of things: applications, devices & infrastructure. When choosing an architecture to process them, the role of an event broker, like Apache Kafka or …

I bet you think this is about the rise of Netflix, YouTube, Disney+ etc. It isn’t. Sure, streaming video has eclipsed TV, but that's old news. I’m referring to the …

For a growing class of business-critical applications, what’s in an application database is likely to be out of sync with the real world - insights are computed too late to …