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Real-Time Data Streaming with Microsoft Fabric Eventstreams
Batch processing introduces latency between data generation and insight availability. For fraud detection, operational monitoring, and customer engagement…
Real-Time Analytics
12 articles
1 min read
Real-Time Streaming Analytics with Azure Stream Analytics and Event Hubs
Enrich streaming data with reference data lookups for context-aware processing and alerting in real-time scenarios.
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Microsoft Fabric Real-Time Analytics: Streaming Data Pipelines
Eventhouse is the storage layer optimized for time-series and streaming data. It automatically indexes data for lightning-fast queries.
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Real-Time Data Processing with Microsoft Fabric Eventstreams
Eventstreams support multiple source types including Azure Event Hubs, Azure IoT Hub, and custom applications. The visual designer makes it easy to…
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Real-Time Analytics in Fabric: Architecture Patterns and Implementation
Real-time analytics in Fabric provides a powerful, integrated solution for streaming data. Start with simple patterns and evolve to more complex scenarios…
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Eventhouses in Microsoft Fabric: Deep Dive
Eventhouses are the foundation of Real-Time Intelligence in Fabric. Today I'm exploring their architecture and capabilities in depth.
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KQL for Real-Time Analytics: Patterns and Performance
KQL is deceptively simple; over the years I've used it to squeeze sub-second insights from streaming data. Below are the query patterns and optimizations…
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Real-Time Dashboards in Fabric: Live Data Visualization
Tomorrow we'll explore Fabric Data Science capabilities. Real Time Dashboard Documentation KQL Visualizations Dashboard Best Practices
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KQL Databases: Advanced Patterns and Techniques
'{ "SoftDeletePeriod": "90.00:00:00", "Recoverability": "Enabled" }' '{ "DataHotSpan": "7.00:00:00", "IndexHotSpan": "14.00:00:00" }'
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Fabric Real-Time Analytics: Stream Processing at Scale
'{' ' "SoftDeletePeriod": "30.00:00:00",' ' "Recoverability": "Enabled"' '}'
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Synapse Real-Time Analytics in Microsoft Fabric: Streaming at Scale
Real-Time Analytics in Fabric provides powerful streaming capabilities for time-sensitive workloads. Tomorrow, I will cover Power BI integration in Fabric.
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Real-Time Data Processing with Spark Structured Streaming
The appeal of Spark Structured Streaming is that you write it almost identically to a batch Spark job. Same DataFrame API, same transformations, same Spark…