Remove Big Data Remove IoT Remove Programming Remove Scalability
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The Need for Real-Time Device Tracking

ScaleOut Software

We are increasingly surrounded by intelligent IoT devices, which have become an essential part of our lives and an integral component of business and industrial infrastructures. In-memory computing has the speed and scalability needed to generate responses within milliseconds, and it can evaluate and report aggregate trends every few seconds.

IoT 78
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Expanding the AWS Cloud: Introducing the AWS Europe (London) Region

All Things Distributed

The council has deployed IoT Weather Stations in Schools across the City and is using the sensor information collated in a Data Lake to gain insights on whether the weather or pollution plays a part in learning outcomes. Take Peterborough City Council as an example. Fraud.net is a good example of this.

AWS 166
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Using Real-Time Digital Twins for Aggregate Analytics

ScaleOut Software

thousands of data sources. Instead, most applications just sift through the telemetry for patterns that might indicate exceptional conditions and forward the bulk of incoming messages to a data lake for offline scrubbing with a big data tool such as Spark. Maintain State Information for Each Data Source.

article thumbnail

Using Real-Time Digital Twins for Aggregate Analytics

ScaleOut Software

thousands of data sources. Instead, most applications just sift through the telemetry for patterns that might indicate exceptional conditions and forward the bulk of incoming messages to a data lake for offline scrubbing with a big data tool such as Spark. Maintain State Information for Each Data Source.