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Stream Analytics: fresh
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articles/stream-analytics/stream-analytics-machine-learning-anomaly-detection.md

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---
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title: Anomaly detection in Azure Stream Analytics (Preview)
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title: Anomaly detection in Azure Stream Analytics
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description: This article describes how to use Azure Stream Analytics and Azure Machine Learning together to detect anomalies.
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services: stream-analytics
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author: mamccrea
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ms.author: mamccrea
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ms.reviewer: jasonh
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ms.service: stream-analytics
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ms.topic: conceptual
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ms.date: 02/13/2019
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ms.custom: seodec18
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ms.date: 06/03/2019
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---
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# Anomaly detection in Azure Stream Analytics

articles/stream-analytics/stream-analytics-parsing-json.md

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description: This article describes how to operate on complex data types like arrays, JSON, CSV formatted data.
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services: stream-analytics
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ms.service: stream-analytics
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author: jasonwhowell
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author: mamccrea
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ms.author: mamccrea
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manager: kfile
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ms.topic: conceptual
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ms.date: 08/03/2018
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ms.date: 06/03/2019
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# Parse JSON and Avro data in Azure Stream Analytics
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Azure Stream Analytics supports processing events in CSV, JSON, and Avro data formats. Both JSON and Avro data can contain complex types such as nested objects (records) and arrays.
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## Array data types
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Array data types are an ordered collection of values. Some typical operations on array values are detailed below. These examples assume the input events have a property named "arrayField" that is an array datatype.
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These examples use the functions [GetArrayElement](https://msdn.microsoft.com/azure/stream-analytics/reference/getarrayelement-azure-stream-analytics), [GetArrayElements](https://msdn.microsoft.com/azure/stream-analytics/reference/getarrayelements-azure-stream-analytics), [GetArrayLength](https://msdn.microsoft.com/azure/stream-analytics/reference/getarraylength-azure-stream-analytics), and the [APPLY](https://msdn.microsoft.com/azure/stream-analytics/reference/apply-azure-stream-analytics) operator.
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## Examples
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Use dot notation (.) to access nested fields. For example, this query selects the Lat and Long coordinates under the Location property in the preceding JSON data:
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Use dot notation (.) to access nested fields. For example, this query selects the Latitude and Longitude coordinates under the Location property in the preceding JSON data:
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```SQL
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SELECT

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