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Pattern Matching in Streaming Data: Detecting Complex Events
Pattern matching in streaming data enables: Sequence detection Anomaly identification Business rule enforcement Fraud detection Predictive maintenance Azure…
stream-analytics
6 articles
1 min read
Temporal Joins: Correlating Events Across Time
Temporal joins and windows enable sophisticated event correlation, essential for IoT analytics, fraud detection, and user behavior analysis.
1 min read
Reference Data Joins in Stream Analytics
Static : Loaded once at job start Periodic : Refreshes at intervals Dynamic : SQL queries for latest data Reference data joins combine streaming data with…
1 min read
Azure Stream Analytics Updates: No-Code Editor and More
The new visual editor allows building streaming pipelines without SQL: 1. Drag and drop input/output connections 2. Visual transformations and aggregations…
1 min read
Azure Stream Analytics for Real-Time Data Processing
Azure Stream Analytics sits in a specific niche that I've come to appreciate: SQL-native stream processing for teams who shouldn't have to learn Spark or…
1 min read
Azure Stream Analytics: Real-Time Data Processing
Stream Analytics is one of those services I keep recommending and clients keep being surprised by — SQL on top of an event firehose, with windowing and…