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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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What is Google Cloud Functions?

Dynatrace

In recent years, function-as-a-service (FaaS) platforms such as Google Cloud Functions (GCF) have gained popularity as an easy way to run code in a highly available, fault-tolerant serverless environment. GCF also enables teams to run custom-written code to connect multiple services in Node, Python, Go, Java,NET, Ruby, and PHP.

Google 221
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Object-Oriented Programming Simplifies Digital Twins

ScaleOut Software

This model organizes key information about each data source (for example, an IoT device, e-commerce shopper, or medical patient) in a software component that tracks the data source’s evolving state and encapsulates algorithms, such as predictive analytics, for interpreting that state and generating real-time feedback.

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Announcing the ScaleOut Digital Twin Streaming Service™

ScaleOut Software

It’s called the ScaleOut Digital Twin Streaming Service , and it’s now available for production use. 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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Announcing the ScaleOut Digital Twin Streaming Service™

ScaleOut Software

It’s called the ScaleOut Digital Twin Streaming Service , and it’s now available for production use. 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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Object-Oriented Programming Simplifies Digital Twins

ScaleOut Software

This model organizes key information about each data source (for example, an IoT device, e-commerce shopper, or medical patient) in a software component that tracks the data source’s evolving state and encapsulates algorithms, such as predictive analytics, for interpreting that state and generating real-time feedback.

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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. Second, they make contextual data immediately available to the application. Others include fleet and traffic management, healthcare, financial services, IoT, and e-commerce recommendations.

Code 52