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The Power of Integrated Analytics Within an IMDG

ScaleOut Software

By transparently distributing stored objects across a cluster of servers (physical or virtual), it automatically scales performance for fast-growing workloads and maintains consistently low access latency. Java applications use a similar mechanism.). Queries in an IMDG can create interesting performance challenges.

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The Power of Integrated Analytics Within an IMDG

ScaleOut Software

By transparently distributing stored objects across a cluster of servers (physical or virtual), it automatically scales performance for fast-growing workloads and maintains consistently low access latency. Java applications use a similar mechanism.). Queries in an IMDG can create interesting performance challenges.

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Using Real-Time Digital Twins for Corporate Contact Tracing

ScaleOut Software

The following diagram illustrates an employee’s real-time digital twin and the state data it holds; details about the contact tracing code are explained below: The twin automatically populates its contact list with the other members of the employee’s team, based on the expectation that team members are in daily contact.

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Using Real-Time Digital Twins for Corporate Contact Tracing

ScaleOut Software

The following diagram illustrates an employee’s real-time digital twin and the state data it holds; details about the contact tracing code are explained below: The twin automatically populates its contact list with the other members of the employee’s team, based on the expectation that team members are in daily contact.

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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. First, unlike key-based access, which is directed to a specific grid server to retrieve an object, a query requires the participation of all grid servers.

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. First, unlike key-based access, which is directed to a specific grid server to retrieve an object, a query requires the participation of all grid servers.