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Real-Time Digital Twins Simplify Code in Streaming Applications

ScaleOut Software

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. In the above power grid example, the application requires only of a few lines of code to embed a set of rules for interpreting state changes from a node in the power grid.

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

ScaleOut Software

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. In the above power grid example, the application requires only of a few lines of code to embed a set of rules for interpreting state changes from a node in the power grid.

Code 52
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article thumbnail

Real-Time Digital Twins Simplify Code in Streaming Applications

ScaleOut Software

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. In the above power grid example, the code needed only consists of a few lines of Java code which embed a set of rules for interpreting state changes from a node in the power grid.

Code 52
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Use Parallel Analysis – Not Parallel Query – for Fast Data Access and Scalable Computing Power

ScaleOut Software

Whether it’s ecommerce shopping carts, financial trading data, IoT telemetry, or airline reservations, these data sets need fast, reliable access for large, mission-critical workloads. For more than a decade, in-memory data grids (IMDGs) have proven their usefulness for storing fast-changing data in enterprise applications.

article thumbnail

Use Parallel Analysis – Not Parallel Query – for Fast Data Access and Scalable Computing Power

ScaleOut Software

Whether it’s ecommerce shopping carts, financial trading data, IoT telemetry, or airline reservations, these data sets need fast, reliable access for large, mission-critical workloads. For more than a decade, in-memory data grids (IMDGs) have proven their usefulness for storing fast-changing data in enterprise applications.