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articles/purview/overview.md

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Microsoft Purview's solutions in the governance portal provide a unified data governance service that helps you manage your on-premises, multicloud, and software-as-a-service (SaaS) data. The Microsoft Purview governance portal allows you to:
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- Create a holistic, up-to-date map of your data landscape with automated data discovery, sensitive data classification, and end-to-end data lineage.
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- Enable data curators to manage and secure your data estate.
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- Enable data curators and security administrators to manage and keep your data estate secure.
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- Empower data consumers to find valuable, trustworthy data.
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:::image type="complex" source="./media/overview/high-level-overview.png" alt-text="Graphic showing Microsoft Purview's high-level architecture." lightbox="./media/overview/high-level-overview-large.png":::
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Chart showing the high-level architecture of Microsoft Purview. Multicloud and on-premises sources flow into Microsoft Purview, and Microsoft Purview's apps (Data Catalog, Map, Data Estate Insights, Policy, and Data Sharing) allow data consumers and data curators to view and manage metadata, share data, and protect assets. This metadata is also being ported to external analytics services from Microsoft Purview for more processing.
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Chart shows the high-level architecture of Microsoft Purview. Multicloud and on-premises sources flow into Microsoft Purview's Data Map. On top of it, Microsoft Purview's apps (Data Catalog, Data Estate Insights, Data Policy, and Data Sharing) allow data consumers, data curators and security administrators to view and manage metadata, share data, and protect assets. This metadata is also ported to external analytics services from Microsoft Purview for more processing.
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:::image-end:::
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>[!TIP]
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> Looking to govern your data in Microsoft 365 by keeping what you need and deleting what you don't? Use [Microsoft Purview Data Lifecycle Management](/microsoft-365/compliance/data-lifecycle-management).
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Microsoft Purview automates data discovery by providing data scanning and classification as a service for assets across your data estate. Metadata and descriptions of discovered data assets are integrated into a holistic map of your data estate. Atop this map, there are purpose-built apps that create environments for data discovery, access management, and insights about your data landscape.
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The [Data Map](#data-map): Microsoft Purview automates data discovery by providing data scanning and classification as a service for assets across your data estate. Metadata and descriptions of discovered data assets are integrated into a holistic map of your data estate. Atop this map, there are purpose-built apps that create environments for data discovery, access management, and insights about your data landscape.
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|App |Description |
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|----------|-----------|
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|[Data Map](#data-map) | Makes your data meaningful by graphing your data assets, and their relationships, across your data estate. The data map used to discover data. |
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|[Data Catalog](#data-catalog) | Finds trusted data sources by browsing and searching your data assets. The data catalog aligns your assets with friendly business terms and data classification to identify data sources. |
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|[Data Estate Insights](#data-estate-insights) | Gives you an overview of your data estate to help you discover what kinds of data you have and where. |
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|[Data Sharing](#data-sharing) | Allows you to securely share data internally or cross organizations with business partners and customers. |
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* [Self-service access policies](concept-self-service-data-access-policy.md): Self-Service: Workflow approval and automatic provisioning of access requests initiated by business analysts that discover data assets in Microsoft Purview’s catalog.
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* [DevOps policies](concept-policies-devops.md): Provision access to system metadata for IT operations and other DevOps personnel, supporting typical functions like SQL Performance Monitor and SQL Security Auditor.
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## Discovery challenges for data consumers
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## Traditional challenges that Microsoft Purview seeks to address
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### Challenges for data consumers
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Traditionally, discovering enterprise data sources has been an organic process based on communal knowledge. For companies that want the most value from their information assets, this approach presents many challenges:
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* If users have questions about an information asset, they must locate the expert, or team responsible for that data and engage them offline. There's no explicit connection between the data and the experts that understand the data's context.
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* Unless users understand the process for requesting access to the data source, discovering the data source and its documentation won't help them access the data.
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## Discovery challenges for data producers
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### Challenges for data producers
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Although data consumers face the previously mentioned challenges, users who are responsible for producing and maintaining information assets face challenges of their own:
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When such challenges are combined, they present a significant barrier for companies that want to encourage and promote the use and understanding of enterprise data.
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## Discovery challenges for security administrators
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### Challenges for security administrators
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Users who are responsible for ensuring the security of their organization's data may have any of the challenges listed above as data consumers and producers, and the following extra challenges:
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At the same time, users can contribute to the catalog by tagging, documenting, and annotating data sources that have already been registered. They can also register new data sources, which are then discovered, understood, and consumed by the community of catalog users.
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Lastly, Microsoft Purview Data Policy app leverages the metadata in the Data Map, providing a superior solution to keep your data secure.
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## Next steps
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