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Using Real-Time Digital Twins for Aggregate Analytics

ScaleOut Software

Maintain and aggregate dynamic information for. An innovative new software technique called “ real-time digital twins ” leverages in-memory computing technology to turn the Lambda model for streaming analytics on its head and enable each data source to be independently tracked and responded to in real time.

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Using Real-Time Digital Twins for Aggregate Analytics

ScaleOut Software

Maintain and aggregate dynamic information for. An innovative new software technique called “ real-time digital twins ” leverages in-memory computing technology to turn the Lambda model for streaming analytics on its head and enable each data source to be independently tracked and responded to in real time.

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Real-Time Digital Twins Can Help Expedite Vaccine Distribution

ScaleOut Software

In-Memory Computing with Real Time Digital Twins: Fast and Agile. A software technology called in-memory computing has evolved over the last twenty years to grapple with the challenge of tracking and analyzing fast-changing data. Real-time digital twins are both easy to develop and easy to change as needs evolve.

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Why Use “Real-Time Digital Twins” for Streaming Analytics?

ScaleOut Software

And how are they different from streaming pipelines like Azure Stream Analytics and Apache Flink/Beam? What Problems Does Streaming Analytics Solve? To understand why we need real-time digital twins for streaming analytics, we first need to look at what problems are tackled by popular streaming platforms.

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The Need for Real-Time Device Tracking

ScaleOut Software

Real-Time Device Tracking with In-Memory Computing Can Fill an Important Gap in Today’s Streaming Analytics Platforms. The Limitations of Today’s Streaming Analytics. How are we managing the torrent of telemetry that flows into analytics systems from these devices? The list goes on.

IoT 78
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Real-Time Digital Twins: A New Approach to Streaming Analytics

ScaleOut Software

Real-time digital twins offer a compelling new software model for tracking and analyzing telemetry from large numbers of data sources. This code often takes the form of a set of SQL queries (extended with time-windowing semantics) running continuously to select interesting events from the stream.

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Deploying Real-Time Digital Twins On Premises with ScaleOut StreamServer DT

ScaleOut Software

With the ScaleOut Digital Twin Streaming Service , an Azure-hosted cloud service, ScaleOut Software introduced breakthrough capabilities for streaming analytics using the real-time digital twin concept. The management console installs as a set of Docker containers on the management server.

IoT 52