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Adding New Capabilities for Real-Time Analytics to Azure IoT

ScaleOut Software

Application developers write event handling code in C#, Java, JavaScript, or using a rules engine; this code encapsulates application logic, such as a predictive analytics or machine learning algorithm. Azure digital twins serve a different purpose.

IoT 52
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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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A Management Maturity Model for Performance

Alex Russell

This is a complex topic, but to borrow from a recent post , web performance expands access to information and services by reducing latency and variance across interactions in a session, with a particular focus on the tail of the distribution (P75+). Consistent performance matters just as much as low average latency.