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Copy file name to clipboardExpand all lines: articles/operator-insights/overview.md
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title: What is Azure Operator Insights?
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description: Azure Operator Insights is an Azure service for monitoring and analyzing data from multiple sources
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description: Azure Operator Insights is an Azure service for monitoring and analyzing data from multiple sources.
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author: rcdun
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ms.author: rdunstan
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ms.reviewer: rathishr
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- Pipelines managed for all operators, leading to economies of scale dropping the price.
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- Operator privacy module.
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- Operator compliance including handling retention policies.
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- Common data model with open standards such as parquet and delta lake for easy integration with other Microsoft and non-Microsoft services.
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- Common data model with open standards such as Apache Parquet for easy integration with other Microsoft and non-Microsoft services.
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- High speed analytics to enable fast data exploration and correlation between different data sets produced by disaggregated 5G multi-vendor networks.
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The result is that the operator has a lower total cost of ownership but higher insights of their network over equivalent on-premises or cloud chemistry set platforms.
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Azure Operator Insights requires two separate types of resources.
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-_Ingestion agents_ in your network collect data from your network and upload them to Data Products in Azure.
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-_Data Product_ resources in Azure process the data provided by ingestion agents, enrich it and make it available to you.
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-_Data Product_ resources in Azure process the data provided by ingestion agents, enrich it, and make it available to you.
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- You can use prebuilt dashboards provided by the Data Product or build your own in Azure Data Explorer. Azure Data Explorer also allows you to query your data directly, analyze it in Power BI or use it with Logic Apps. For more information, see [Data visualization in Data Products](concept-data-visualization.md).
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- Data Products provide [metrics for monitoring the quality of your data](concept-data-quality-monitoring.md).
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- Data Products are designed for specific types of source data and provide specialized processing for that source data. For more information, see [Data types](concept-data-types.md).
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