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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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Using Real-Time Digital Twins for Aggregate Analytics

ScaleOut Software

When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and derive actionable information in real time.

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Using Real-Time Digital Twins for Aggregate Analytics

ScaleOut Software

When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and derive actionable information in real time.

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Digital Twins Enable Seamless Use of Edge Computing in IoT

ScaleOut Software

Digital twins are software abstractions that track the behavior of individual devices in IoT applications. Because real-world IoT applications can track thousands of devices or other entities (e.g., Because real-world IoT applications can track thousands of devices or other entities (e.g.,

IoT 45
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Real-Time Digital Twins Simplify Code in Streaming Applications

ScaleOut Software

The problem with this approach is that important insights requiring quick action are not immediately available. Borrowed from its usage in product life-cycle management and simulation, a digital twin provides an object-oriented container for hosting application code and data.

Code 52
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Real-Time Digital Twins Simplify Code in Streaming Applications

ScaleOut Software

The problem with this approach is that important insights requiring quick action are not immediately available. Borrowed from its usage in product life-cycle management and simulation, a digital twin provides an object-oriented container for hosting application code and data.

Code 52
article thumbnail

Real-Time Digital Twins Simplify Code in Streaming Applications

ScaleOut Software

The problem with this approach is that important insights requiring quick action are not immediately available. Borrowed from its usage in product life-cycle management and simulation, a digital twin provides an object-oriented container for hosting application code and data.

Code 52