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The Power of Integrated Analytics Within an IMDG

ScaleOut Software

Typical uses include storing session-state and ecommerce shopping carts, product descriptions, airline reservations, financial portfolios, news stories, online learning data, and many others. To simplify development for.NET applications, it uses Microsoft’s language integrated query ( LINQ ) to specify queries.

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The Power of Integrated Analytics Within an IMDG

ScaleOut Software

Typical uses include storing session-state and ecommerce shopping carts, product descriptions, airline reservations, financial portfolios, news stories, online learning data, and many others. To simplify development for.NET applications, it uses Microsoft’s language integrated query ( LINQ ) to specify queries.

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Using Real-Time Digital Twins for Corporate Contact Tracing

ScaleOut Software

In addition, they can log contacts outside the company, such as taxi rides, airline flights, and meals at restaurants, so that community members can be notified if an employee was exposed to COVID-19. These are defined by the contact tracing application and can be written in C#, Java, or JavaScript. (C# Summing Up.

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Using Real-Time Digital Twins for Corporate Contact Tracing

ScaleOut Software

In addition, they can log contacts outside the company, such as taxi rides, airline flights, and meals at restaurants, so that community members can be notified if an employee was exposed to COVID-19. These are defined by the contact tracing application and can be written in C#, Java, or JavaScript. (C# Summing Up.

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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. With a small change in mindset, developers easily can harness its computing power to eliminate bottlenecks and reap big dividends in performance.

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. With a small change in mindset, developers easily can harness its computing power to eliminate bottlenecks and reap big dividends in performance.