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Real-Time Digital Twins Simplify Development

ScaleOut Software

Writing applications for streaming analytics can be complex and time consuming. Developers need to write code that extracts patterns out of an incoming telemetry stream and take appropriate action. Existing programming models make it too difficult to perform meaningful analysis in real time.

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Real-Time Digital Twins Simplify Development

ScaleOut Software

Writing applications for streaming analytics can be complex and time consuming. Developers need to write code that extracts patterns out of an incoming telemetry stream and take appropriate action. Existing programming models make it too difficult to perform meaningful analysis in real time.

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Real-Time Digital Twins Can Help Expedite Vaccine Distribution

ScaleOut Software

Conventional, enterprise data architectures take months to develop and are complex to change. In-Memory Computing with Real Time Digital Twins: Fast and Agile. This powerful technology may also be just what we need to help tackle the challenge of vaccine distribution.

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

ScaleOut Software

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. It views the incoming stream of messages as a columnar database with the column representing a time-ordered history of messages.

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Developing Real-Time Digital Twins for Cloud Deployment

ScaleOut Software

Simplifying the Development Process with Mock Environments. This blog post explains how a new software construct called a real-time digital twin running in a cloud-hosted service can create a breakthrough for streaming analytics. What Are Real-Time Digital Twins?

Cloud 52
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Developing Real-Time Digital Twins for Cloud Deployment

ScaleOut Software

Simplifying the Development Process with Mock Environments. This blog post explains how a new software construct called a real-time digital twin running in a cloud-hosted service can create a breakthrough for streaming analytics. What Are Real-Time Digital Twins?

Cloud 52
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Adding New Capabilities for Real-Time Analytics to Azure IoT

ScaleOut Software

Azure Time Series Insights for storing time-series data and then exploring, modeling, and querying it to gain insights, such as identifying anomalies and trends, with a rich set of analytics tools. These capabilities are vitally important to extract the full potential of real-time intelligent monitoring.

IoT 52