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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 ...

We are living in a "sensors world," where data is constantly gathered by smartphones, smart watches, sport trackers, smart devices, and even smart houses. Service providers collect this data for ...

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 ...

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 ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Hazelcast is updating its namesake real-time data processing platform to ...

In today’s volatile e-commerce environment, because the focus is on price management, the effective use of analytical tools and residential proxies is becoming essential. The use of residential ...

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 ...

Big data analytics company Splunk Inc. early today announced the general availability of its new Data Fabric Search and Data Stream Processor capabilities in the on-premises and cloud versions of its ...

Eli is Associate Editor for EdTech Magazine Higher Education. When not in the office, Eli is busy scanning the web for the latest podcasts or stepping into the boxing ring for a few rounds.