Processing Configurable Threshold Based Rules in Azure Stream Analytics

This post covers the usage of Azure Stream Analytics to process configurable threshold based rules. Canonical scenarios where an alert is to be generated when an event with a certain value occurs or when an aggregated value exceeds a certain threshold can be articulated as threshold based rules in Azure Stream Analytics. These queries are…


Query Pattern of the Week: Use expressions inside a TIMESTAMP BY clause

Azure Stream Analytics allows expressing complex event processing rules using a simple SQL-like query language. Given the temporal nature of Stream Analytics queries, it is important to specify a timestamp for every input event.  By default, Stream Analytics will use arrival time of the input event – e.g. if Event Hub is used as an…

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Query Pattern of the Week: Send data to multiple outputs

Have you checked out our team’s collection of Common Stream Analytics Query Patterns? This location acts as a repository for query patterns commonly used by our customers. One pattern that frequently comes up in real-world applications is directing job data to multiple outputs to enable both a hot path and a cold path for data….

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Query Pattern of the Week: Specify logic for different cases

Last week we kicked off a new blog series to highlight a query pattern with a real world example every week.  This week we examine how to use CASE statements to specify conditional logic.  For more query patterns, check out the Common Stream Analytics Query Patterns page. Description: Evaluate one of multiple results based on…

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Query Pattern of the Week: Find the duration of a condition

To increase familiarity with the Stream Analytics Query Language, we are kicking off a blog series that will feature a new query pattern every week from Common Stream Analytics Query Patterns.  In addition to the examples and explanations found in the documentation, posts will also include a sample data file that you can use to…

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