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Docs: Service Insights Doc Updation (#20751)
* Docs: Service Insights Doc Updation * Docs: Service Insights Doc Updation --------- Co-authored-by: Rounak Dhillon <rounakdhillon@Rounaks-MacBook-Air.local> Co-authored-by: Prajwal214 <167504578+Prajwal214@users.noreply.github.com>
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@ -920,6 +920,8 @@ site_menu:
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url: /how-to-guides/data-insights/data-culture
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- category: How-to Guides / Data Insights / Custom Data Insight Dashboards
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url: /how-to-guides/data-insights/custom-dashboard
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- category: How-to Guides / Data Insights / Service Insights
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url: /how-to-guides/data-insights/service-insights
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- category: How-to Guides / Data Governance
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url: /how-to-guides/data-governance
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@ -60,4 +60,11 @@ Watch a demo of Data Insights in OpenMetadata
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href="/how-to-guides/data-insights/data-culture"%}
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Improve your data culture for data-driven decision making.
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{%/inlineCallout%}
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{%inlineCallout
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color="violet-70"
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bold="Service Insights and Monitoring in OpenMetadata"
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icon="MdInsights"
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href="/how-to-guides/data-insights/service-insights"%}
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Monitor metadata quality and usage across individual services.
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{%/inlineCallout%}
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{%/inlineCalloutContainer%}
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@ -0,0 +1,98 @@
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---
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title: Service Insights Overview
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slug: /how-to-guides/data-insights/service-insights
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---
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# Service Insights
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Users can view insights for individual services using the Service Insights tab. This guide provides an overview of the available charts and outlines troubleshooting steps when no data is displayed.
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## Total Data Assets
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This chart displays the total number of data assets within a service, categorized by asset type. For example, in a database service, it shows the count of tables, databases, database schemas, and stored procedures.
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{% note %}
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If no data is displayed, ensure that the metadata ingestion pipeline has been executed successfully.
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{% /note %}
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## Description Coverage
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This chart shows the percentage of data assets that have a populated description field.
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{% note %}
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If no data is displayed, verify that both the metadata ingestion pipeline and the data insights pipeline have been executed successfully.
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{% /note %}
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## PII Coverage
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This chart displays the percentage of data assets containing columns tagged with Personally Identifiable Information (PII) tags.
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{% note %}
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If the chart does not show any data, ensure that both the Auto Classification pipeline and the Data Insights pipeline have been successfully executed.
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{% /note %}
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## Tier Coverage
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This chart displays the percentage of data assets where tier classification has been populated.
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{% note %}
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If the chart shows no data, verify that the Auto Tiering pipeline (Collate only) and the Data Insights pipeline have been executed successfully.
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{% /note %}
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# Generated Data with Collate AI (Collate Only)
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This table displays a breakdown of metadata populated by the Collate AI agent versus metadata populated manually.
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{% note %}
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If the table shows no data, ensure that the Auto Classification pipeline, Auto Data Quality (DQ) pipeline, Auto Tiering pipeline, Collate AI application, and Data Insights application have been executed successfully.
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{% /note %}
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# PII Distribution
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This table displays a breakdown of data assets categorized by their associated PII (Personally Identifiable Information) tags.
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{% note %}
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If the table shows no data, verify that both the Auto Classification pipeline and the Data Insights application have been executed successfully.
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{% /note %}
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# Tier Distribution
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This table provides a breakdown of data assets based on their assigned Tier classification.
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{% note %}
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If the table displays no data, ensure that the Auto Tiering pipeline (Collate only) and the Data Insights application have been executed successfully.
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{% /note %}
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# Most Used Data Assets
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This table displays the top five most frequently accessed data assets, determined by their usage percentile.
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{% note %}
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If the table shows no data, verify that the usage pipeline has been executed successfully.
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{% /note %}
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# Most Expensive Queries
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This table displays the top queries based on the cost of query execution.
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{% note %}
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If the table shows no data, verify that the usage pipeline has been executed successfully. Additionally, not all connectors support extracting query cost—ensure that your connector supports this feature.
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{% /note %}
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@ -1061,6 +1061,8 @@ site_menu:
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url: /how-to-guides/data-insights/email-report
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- category: How-to Guides / Data Insights / How to Transform the Data Culture of Your Company
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url: /how-to-guides/data-insights/data-culture
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- category: How-to Guides / Data Insights / Service Insights
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url: /how-to-guides/data-insights/service-insights
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- category: How-to Guides / Data Governance
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url: /how-to-guides/data-governance
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