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Adding New Capabilities for Real-Time Analytics to Azure IoT

ScaleOut Software

The population of intelligent IoT devices is exploding, and they are generating more telemetry than ever. The Microsoft Azure IoT ecosystem offers a rich set of capabilities for processing IoT telemetry, from its arrival in the cloud through its storage in databases and data lakes.

IoT 52
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Announcing the ScaleOut Digital Twin Streaming Serviceā„¢

ScaleOut Software

This approach refactors and simplifies application code (which can be written in standard Java, C#, or JavaScript) to just focus on a single data source, introspect deeply, and better predict important events.

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article thumbnail

Announcing the ScaleOut Digital Twin Streaming Serviceā„¢

ScaleOut Software

This approach refactors and simplifies application code (which can be written in standard Java, C#, or JavaScript) to just focus on a single data source, introspect deeply, and better predict important events.

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Developing Real-Time Digital Twins for Cloud Deployment

ScaleOut Software

To make this possible, the Azure-based streaming service hosts a real-time digital twin for each data source. Digital twin models used in product lifecycle management (PLM) or in IoT device modeling (for example, Azure Digital Twins ) just describe the properties of physical entities, usually to allow querying by business processes.

Cloud 52
article thumbnail

Developing Real-Time Digital Twins for Cloud Deployment

ScaleOut Software

To make this possible, the Azure-based streaming service hosts a real-time digital twin for each data source. Digital twin models used in product lifecycle management (PLM) or in IoT device modeling (for example, Azure Digital Twins ) just describe the properties of physical entities, usually to allow querying by business processes.

Cloud 52