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Real-Time Digital Twins Simplify Code in Streaming Applications

ScaleOut Software

Others include fleet and traffic management, healthcare, financial services, IoT, and e-commerce recommendations. It does this with a surprisingly small amount of code, as illustrated below: This is one of many possible applications for real-time digital twins.

Code 52
article thumbnail

Real-Time Digital Twins Simplify Code in Streaming Applications

ScaleOut Software

Others include fleet and traffic management, healthcare, financial services, IoT, and e-commerce recommendations. It does this with a surprisingly small amount of code, as illustrated below: This is one of many possible applications for real-time digital twins.

Code 52
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article thumbnail

Real-Time Digital Twins Simplify Code in Streaming Applications

ScaleOut Software

Others include fleet and traffic management, healthcare, financial services, IoT, and e-commerce recommendations. It does this with a surprisingly small amount of code, as illustrated below: This is one of many possible applications for real-time digital twins.

Code 52
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.

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.