Microsoft Purview Free & Enterprise - Overview

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Last updated: 2025-07-17

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Free vs Enterprise
Overview
Microsoft Purview Pricing Model
- Key Differences
How Microsoft Purview can be used
Examples of use cases
Collect metadata information from Apache Airflow

Free vs Enterprise

Purview Free: Provides basic data governance capabilities, suitable for small-scale or initial exploration of Purview’s features. It includes basic cataloging, limited data discovery, and basic compliance tools.
Purview Enterprise: Offers comprehensive data governance, protection, and compliance features. It supports a wide range of data sources, advanced classification, full DLP, information protection, compliance management, and seamless integration with Azure services.

Feature	Purview Free	Purview Enterprise
Data Catalog	Basic cataloging capabilities. Limited to 1,000 annotated assets.	Full cataloging capabilities. No limit on the number of annotated assets.
Data Discovery	Limited to Azure and Microsoft Fabric resources. Auto discovery of Azure data sources.	Supports a wide range of data sources, including on-premises, multicloud, and SaaS applications. Automated scans for the hybrid data estate.
Data Lineage	Basic lineage tracking for a limited set of data sources.	Comprehensive lineage tracking across all supported data sources.
Data Classification	Basic classification capabilities. Definition and manual application of classifications and terms.	Advanced classification with automatic labeling and sensitivity labels. Automated application of classifications and terms.
Data Loss Prevention (DLP)	Not included.	Full DLP capabilities to prevent unauthorized sharing of sensitive information.
Information Protection	Not included.	Includes encryption and access controls to protect sensitive data.
Compliance Management	Basic compliance tools.	Comprehensive compliance management, including Compliance Manager and audit capabilities.
Data Quality	Basic data profiling.	Advanced data quality features, including quality rules and continuous monitoring.
Insider Risk Management	Not included.	Full insider risk management capabilities to detect and respond to potential data leaks.
eDiscovery	Not included.	Full eDiscovery capabilities for legal and compliance investigations.
Integration with Azure Services	Limited integration with Azure services.	Seamless integration with a wide range of Azure services, including Synapse Analytics, SQL, and Power BI.
Data Map	Basic data map capabilities. Manual creation of assets using the data map APIs.	Full data map with detailed visualizations and relationship tracking. Full use of Microsoft Purview's REST APIs.
Monitoring and Reporting	Basic monitoring and reporting.	Advanced monitoring and reporting, including Data Estate Insights.
User Access	Limited to data curators. Role group access control to platform and apps.	Full access for all users, including data stewards and analysts. Fine-grained, collection-level access control to platform and apps.
Support and SLA	Community support.	Enterprise-grade support and SLA.
Workflows	Not included.	Included.
Business Rules	Not included.	Included.
Support for Business Assets and Managed Attributes	Not included.	Included.
Descriptions, Tags, and Contacts	Manual descriptions, tags, and contacts.	Manual and bulk descriptions, tags, and contacts.

Overview

Keypoints of Microsoft Purview:

Integration with Microsoft Ecosystem: Purview offers deep integration with Azure, Power BI, and Microsoft 365, providing a seamless experience for organizations already using these tools.

Advanced Governance and Compliance: Purview provides robust governance and compliance features, ensuring your data management practices meet regulatory standards.

AI-Powered Search and Discovery: With AI-driven capabilities, Purview enhances data discovery and classification, making it easier to find and manage data assets.

Enterprise-Grade Security: Leveraging Azure's security infrastructure, Purview offers top-notch security features to protect your data.

Cost-Effective: For organizations using Azure, Purview can be a more cost-effective solution due to its deep integration with Azure services.

Feature/Tool	Microsoft Purview	Atlan	Alation	Collibra	Informatica
Data Lineage	End-to-end lineage, integrates with Azure Data Factory, supports column-level and cross-system lineage	Visual lineage maps, supports column-level lineage, tracks data transformations and dependencies	Column-level lineage, impact analysis, automated lineage extraction	End-to-end lineage, automated data flow tracking, supports both technical and business lineage	Comprehensive lineage with data transformation tracking, supports column-level lineage
Integration	Deep integration with Azure services, Power BI, Microsoft 365, supports various data sources and ETL tools	Integrates with Snowflake, Databricks, AWS, GCP, BI tools, and more	Integrates with BI tools, databases, cloud services, and data lakes	Extensive integrations with enterprise systems, cloud platforms, and BI tools	Broad integration support including cloud and on-premises systems, supports ETL tools
Data Governance	Advanced governance, integrates with Azure Policy, Microsoft Information Protection, role-based access control, compliance tracking	Role-based access control, data quality rules, policy management	Policy management, data stewardship, role-based access control, data quality monitoring	Data stewardship, policy management, data quality rules, compliance tracking	Data quality management, policy enforcement, role-based access control, compliance tracking
Data Discovery	AI-powered search and discovery, integrates with Azure Cognitive Services, metadata tagging, data profiling	AI-powered search with NLP, metadata tagging, data profiling	Advanced search with ML, metadata tagging, data profiling	Comprehensive search with metadata tagging, data profiling, and classification	AI-driven data discovery, metadata management, data profiling
Collaboration	Integrated collaboration tools, supports Microsoft Teams, data annotations, and sharing	Collaborative workspace, supports team-based projects, data annotations	Collaborative features, data stewardship workflows, data annotations	Collaboration tools, data sharing, annotations, and workflows	Collaborative environment, data sharing, version control, data annotations
Security	Enterprise-grade security, integrates with Azure Security Center, encryption, access controls, compliance certifications	Encryption, access controls, audit logs, compliance certifications	Strong security features, audit trails, compliance certifications	Robust security, data masking, encryption, compliance certifications	High security standards, data masking, encryption, audit logs
Scalability	Highly scalable with Azure, supports large-scale data environments, elastic scaling	Cloud-native architecture, supports large-scale deployments	Scalable architecture, supports large datasets	Distributed architecture, supports large-scale deployments	Cloud and on-premises support, highly scalable
Cost	Cost-effective for Azure users, pay-as-you-go model, subscription-based options	Competitive pricing, flexible plans, usage-based pricing	Premium pricing, enterprise features, subscription-based	Premium pricing, extensive features, subscription-based	Premium pricing, comprehensive support, subscription-based

Microsoft Purview Pricing Model

Microsoft Purview offers a flexible pricing model based on several components:

Pricing Aspect	Description	Details
Data Map Population	Charges based on the number of data assets scanned and classified	- Cost Basis: Number of data assets scanned - Usage: Suitable for organizations with varying data volumes - Example: Scanning 10,000 data assets may incur different costs compared to 50,000 data assets
Data Map Enrichment	Costs associated with processing information to optimize storage and generate insights	- Cost Basis: Processing and enrichment activities - Usage: Enhances data quality and insights - Example: Enriching metadata for better searchability and classification
Subscription-Based Licensing	Some capabilities offered as subscription-based, with costs varying based on usage and specific features	- Cost Basis: Subscription fees based on selected features - Usage: Predictable costs for budgeting - Example: Subscribing to advanced governance features or AI-powered search capabilities
Pay-As-You-Go	Pricing is scalable and depends on the number of data assets scanned	- Cost Basis: Actual usage - Usage: Flexible and scalable, suitable for businesses of all sizes - Example: Paying for the exact number of data assets scanned each month

Key Differences

Scalability: Purview's pay-as-you-go model allows for cost-effective scaling based on actual usage, which can be more economical for organizations with fluctuating data needs.

Integration with Azure: For organizations already using Azure, Purview can offer additional cost savings due to its deep integration with Azure services.

Aspect	Microsoft Purview	Atlan	Alation	Collibra	Informatica
Pricing Structure	Pay-As-You-Go, Subscription-Based	Tiered Pricing (Starter, Premier, Enterprise)	Subscription-Based, Custom Pricing	Subscription-Based, Annual Licensing	Consumption-Based, IPU (Informatica Processing Unit) Pricing
Cost	Scalable based on usage	Starts at $500/month for Starter Plan	Starts at $60,000/year. Click here for more information	Starts at $170,000/year. Click here for more information	Flexible, based on usage. Click here for more information
Customization	Flexible, based on data assets scanned	Custom pricing for Enterprise Plan	Custom pricing based on features and usage	Custom pricing based on contract term	Customizable based on IPU consumption. Click here for more information
Trial Options	Free trial available	Free trial for Starter and Premier Plans. Click here for more information	Free trial available upon request	Free demo available. Click here for more information	Free trial available. Click here for more information

How Microsoft Purview can be used

Find below different scenarios to manage data governance, protection, and compliance:

Scenario	Description	Steps
Data Governance for a Financial Institution	Demonstrates how Purview can be used to discover, catalog, and manage data assets, ensuring data quality and compliance in a financial setting.	1. Data Discovery: Scan all data sources (e.g., SQL databases, Azure Blob Storage) to discover and catalog data assets. 2. Metadata Collection: Collect metadata and classify data based on sensitivity (e.g., PII, financial data). 3. Data Cataloging: Register discovered data assets in the Purview Data Catalog for easy search and access. 4. Data Lineage: Capture and visualize data lineage to understand data flow and transformations. 5. Data Stewardship: Assign data stewards to manage and curate data assets, ensuring data quality and compliance. 6. Compliance Management: Implement governance policies and use compliance tools to meet regulatory requirements (e.g., GDPR, CCPA). 7. Monitoring and Reporting: Continuously monitor data quality and generate compliance reports.
Data Protection for a Healthcare Provider	Shows how Purview helps classify and protect sensitive healthcare data, implement data loss prevention policies, and ensure compliance with healthcare regulations.	1. Data Classification: Automatically classify sensitive data (e.g., patient records) using Purview's classification tools. 2. Data Loss Prevention (DLP): Implement DLP policies to prevent unauthorized sharing of sensitive information. 3. Information Protection: Apply encryption and access controls to protect sensitive data throughout its lifecycle. 4. Insider Risk Management: Monitor and manage insider risks by detecting and responding to potential data leaks or policy violations. 5. Audit and Compliance: Use audit tools to track user activities and changes, ensuring compliance with healthcare regulations (e.g., HIPAA).
Data Analytics for an E-commerce Company	Highlights how Purview supports data ingestion, processing, and analytics, while maintaining data lineage, quality, and governance in an e-commerce environment.	1. Data Ingestion: Ingest data from various sources (e.g., web servers, sales databases) into Azure Synapse Analytics. 2. Data Processing: Use Azure Synapse to process and transform data for analytics. 3. Data Lineage: Capture data lineage to understand the flow and transformations of data from source to analytics. 4. Data Cataloging: Register processed data assets in the Purview Data Catalog for easy discovery and access. 5. Data Quality: Profile data to assess its quality and define quality rules to maintain high standards. 6. Reporting and Visualization: Use Power BI to create reports and dashboards, ensuring data governance and security.
Compliance Management for a Global Enterprise	Illustrates how Purview can be used to manage compliance across a global organization, including data discovery, classification, policy implementation, and continuous monitoring.	1. Data Discovery: Scan and catalog data assets across on-premises and cloud environments. 2. Data Classification: Classify data based on sensitivity and regulatory requirements. 3. Compliance Assessments: Use Purview Compliance Manager to perform assessments and identify compliance gaps. 4. Policy Implementation: Implement data governance and compliance policies to address identified gaps. 5. Continuous Monitoring: Continuously monitor compliance status and generate reports for regulators and stakeholders. 6. Incident Response: Use audit and investigation tools to respond to compliance incidents and mitigate risks.

Scenario 1: Data Governance for a Financial Institution

Set Up Microsoft Purview Account
- Sign Up:
  - Go to the Microsoft Purview portal.
  - Click on Start free or Get started to sign up for an account.
- Create Purview Account:
  - In the Azure portal, search for Purview.
  - Click on Create to set up a new Purview account.
  - Fill in the required details such as subscription, resource group, and account name.
  - Choose the region and pricing tier.
  - Review and create the account.
Data Domain:
- Create a domain that match your org key business
  - Create collections:
    - Go to the Collections section.
    - Click on New Collection and provide a name and description.

Note

Remember to add purview identity with required RBAC (e.g admin) within the data source desired:

Also add the required roles within the Purview portal, for each collection>

Data Discovery
- Navigate to Purview Portal: Access the Purview portal from the Azure portal by selecting your Purview account.
- Register Data Sources:
  - Go to the Data Map section.
  - Click on Register and select the data source type (e.g., Azure SQL Database, Azure Blob Storage).
  - Provide connection details:
    - For Azure SQL Database: Enter the server name, database name, and authentication details.
    - For Azure Blob Storage: Enter the storage account name and access key.
- Configure Scan Settings:
  - Set the scan scope: Select specific databases, tables, or containers to scan.
  - Schedule the scan frequency: Choose how often the scan should run (e.g., daily, weekly).
  - Configure advanced settings: Set up filters to include or exclude specific data assets.
- Initiate Scan:
  - Click on Start Scan to begin the discovery process.
  - Monitor the scan progress and review the results once completed.
Metadata Collection
- Review Discovered Assets: Go to the Data Map section and review the list of discovered data assets.
- Automatic Classification:
  - Go to the Classifications section.
  - Enable automatic classification:
    - Select the classifiers you want to apply (e.g., PII, financial data).
    - Configure classification rules if needed.
- Manual Metadata Addition:
  - Edit metadata for specific data assets:
    - Click on a data asset to view its details.
    - Add custom tags, descriptions, and contact information for data stewards.
Data Cataloging
- Register Data Assets: Ensure all scanned assets are listed in the Data Catalog section.
- Organize Data Assets:
  - Add relevant data assets to the collection.
  - Define glossary terms:
    - Go to the Glossary section.
    - Click on New Term to create glossary terms.
    - Link glossary terms to data assets.
- Add Descriptions, Tags, and Contacts:
  - Edit each asset:
    - Click on a data asset to view its details.
    - Add detailed descriptions, relevant tags, and contact information for data stewards.
Data Lineage
- Enable Lineage Tracking:
  - Go to the Lineage section.
  - Ensure lineage tracking is enabled for the registered data sources.
- Visualize Data Flow:
  - Use lineage visualization tools:
    - Navigate to the Lineage section.
    - Select a data asset to view its lineage.
    - Explore the data flow and transformations.
- Analyze Lineage:
  - Identify upstream and downstream dependencies:
    - Use the lineage graph to trace data dependencies.
    - Analyze the impact of changes to data assets.
Data Stewardship
- Assign Data Stewards:
  - Go to the Roles section.
  - Assign data steward roles:
    - Select a collection or data asset.
    - Assign users as data stewards.
- Monitor Data Quality and Governance:
  - Set up dashboards:
    - Go to the Monitoring section.
    - Create dashboards to track data quality metrics and governance activities.
- Curate Data Assets:
  - Regularly review and update metadata, classifications, and lineage information:
    - Schedule periodic reviews.
    - Make necessary updates to ensure data accuracy and compliance.
Compliance Management
- Implement Governance Policies:
  - Go to the Policies section.
  - Define and apply data governance policies:
    - Create new policies for data retention, access controls, and usage.
    - Apply policies to relevant data sources.
- Configure Data Retention and Access Policies:
  - Set up policies to manage data lifecycle and access permissions:
    - Define retention periods for different data types.
    - Configure access controls to restrict data access based on roles.
- Use Compliance Manager:
  - Perform compliance assessments:
    - Go to the Compliance Manager section.
    - Select relevant compliance templates (e.g., GDPR, CCPA).
    - Run assessments and review the results.
  - Generate compliance reports: Create reports to document compliance status and actions taken.
Monitoring and Reporting
- Set Up Monitoring Dashboards:
  - Go to the Monitoring section.
  - Create dashboards:
    - Select metrics to monitor (e.g., data quality, compliance status).
    - Configure visualizations and alerts.
- Continuous Monitoring:
  - Use real-time alerts and notifications:
    - Set up alerts for data quality issues and compliance risks.
    - Configure notifications to inform relevant stakeholders.
- Generate and Review Compliance Reports:
  - Regularly generate reports:
    - Go to the Reports section.
    - Create and schedule reports to review compliance status and governance effectiveness.

Scenario 2: Data Protection for a Healthcare Provider

Data Classification
- Navigate to the Microsoft Purview portal:
  - Access the Purview portal from the Azure portal by selecting your Purview account.
- Set up a new data source connection:
  - Go to the Data Map section.
  - Click on Register and select the data source type (e.g., Azure SQL Database, Azure Blob Storage).
  - Provide connection details:
    - For Azure SQL Database: Enter the server name, database name, and authentication details.
    - For Azure Blob Storage: Enter the storage account name and access key.
- Configure the scan settings and initiate the scan:
  - Set the scan scope: Select specific databases, tables, or containers to scan.
  - Schedule the scan frequency: Choose how often the scan should run (e.g., daily, weekly).
  - Configure advanced settings: Set up filters to include or exclude specific data assets.
  - Click on Start Scan to begin the discovery process.
  - Monitor the scan progress and review the results once completed.
- Automatically classify sensitive data:
  - Go to the Classifications section.
  - Enable automatic classification:
    - Select the classifiers you want to apply (e.g., PII, patient records).
    - Configure classification rules if needed.
Data Loss Prevention (DLP)
- Navigate to the DLP section in the Purview portal:
  - Access the DLP section from the main menu.
- Create and configure DLP policies:
  - Click on Create Policy.
  - Define the policy name and description.
  - Specify the conditions for the policy (e.g., detecting sensitive information in emails or documents).
  - Set the actions to be taken when a policy violation is detected (e.g., block sharing, notify admin).
- Apply DLP policies to relevant data sources:
  - Select the data sources to which the DLP policy should apply.
  - Save and activate the policy.
- Monitor for policy violations:
  - Go to the DLP Reports section.
  - Review the reports to monitor for any policy violations and take necessary actions.
Information Protection
- Navigate to the Information Protection section in the Purview portal:
  - Access the Information Protection section from the main menu.
- Apply encryption and access controls:
  - Click on Create Label.
  - Define the label name and description.
  - Configure encryption settings (e.g., specify who can access the data and what actions they can perform).
  - Apply the label to sensitive data.
- Monitor and manage access to sensitive data:
  - Go to the Label Activity Explorer section.
  - Review the activity logs to monitor access to sensitive data and ensure compliance with policies.
Insider Risk Management
- Navigate to the Insider Risk Management section in the Purview portal:
  - Access the Insider Risk Management section from the main menu.
- Configure policies to detect and respond to potential data leaks or policy violations:
  - Click on Create Policy.
  - Define the policy name and description.
  - Specify the conditions for the policy (e.g., detecting unusual data access patterns).
  - Set the actions to be taken when a policy violation is detected (e.g., alert admin, restrict access).
- Monitor insider activities and investigate potential risks:
  - Go to the Risk Activity Explorer section.
  - Review the activity logs to monitor insider activities and investigate any potential risks.
Audit and Compliance
- Navigate to the Audit section in the Purview portal:
  - Access the Audit section from the main menu.
- Configure audit settings to track user activities and changes:
  - Click on Create Audit Log.
  - Define the log name and description.
  - Specify the activities to be tracked (e.g., data access, modifications).
  - Set the retention period for the audit logs.
  - Save and activate the audit log.
- Generate audit reports to ensure compliance with healthcare regulations (e.g., HIPAA):
  - Go to the Audit Reports section.
  - Create and schedule audit reports to review user activities and ensure compliance with regulations.

Scenario 3: Data Analytics for an E-commerce Company

Data Ingestion
- Set up data ingestion pipelines:
  - Use Azure Data Factory or Azure Synapse Analytics.
  - Create a new pipeline:
    - In Azure Data Factory, go to the Author section and click on New pipeline.
    - In Azure Synapse Analytics, go to the Integrate section and click on New pipeline.
  - Add data source connectors:
    - For web servers: Use the HTTP connector to ingest web server logs.
    - For sales databases: Use the Azure SQL Database connector to ingest sales data.
- Ingest data from various sources:
  - Configure the data source settings:
    - For HTTP connector: Enter the URL and authentication details.
    - For Azure SQL Database connector: Enter the server name, database name, and authentication details.
  - Set up data sinks:
    - Choose Azure Synapse Analytics as the destination.
    - Configure the destination settings (e.g., database, table).
- Monitor the data ingestion process:
  - Go to the Monitor section in Azure Data Factory or Azure Synapse Analytics.
  - Check the pipeline runs to ensure data is being ingested correctly.
Data Processing
- Use Azure Synapse Analytics to process and transform the ingested data:
  - Go to the Data section in Azure Synapse Analytics.
  - Create a new SQL script or Spark notebook to process the data.
- Apply necessary transformations and aggregations:
  - Write SQL queries or Spark code to clean, transform, and aggregate the data.
  - Example transformations:
    - Remove duplicates.
    - Aggregate sales data by product category.
    - Enrich web server logs with geolocation data.
- Store the processed data:
  - Save the processed data in a data warehouse or data lake:
    - Use Azure Synapse Analytics to create tables in a dedicated SQL pool.
    - Use Azure Data Lake Storage to store the processed data in Parquet or CSV format.
Data Lineage
- Enable lineage tracking in Azure Synapse Analytics:
  - Go to the Manage section in Azure Synapse Analytics.
  - Enable data lineage tracking for the workspace.
- Capture data lineage:
  - Ensure that all data processing activities are logged.
  - Use built-in lineage tracking features to capture the flow and transformations of data.
- Visualize the data lineage in the Purview portal:
  - Go to the Lineage section in the Purview portal.
  - Select a data asset to view its lineage.
  - Explore the data flow and transformations.
Data Cataloging
- Register processed data assets in the Purview Data Catalog:
  - Go to the Data Map section in the Purview portal.
  - Ensure that all processed data assets are listed.
- Organize data assets:
  - Create collections:
    - Go to the Collections section.
    - Click on New Collection and provide a name and description.
    - Add relevant data assets to the collection.
  - Define glossary terms:
    - Go to the Glossary section.
    - Click on New Term to create glossary terms.
    - Link glossary terms to data assets.
- Add descriptions, tags, and contacts:
  - Edit each asset:
    - Click on a data asset to view its details.
    - Add detailed descriptions, relevant tags, and contact information for data stewards.
Data Quality
- Profile data to assess its quality:
  - Go to the Data Quality section in the Purview portal.
  - Select a data asset to profile.
  - Review the data quality metrics (e.g., completeness, accuracy).
- Define and enforce data quality rules:
  - Create data quality rules:
    - Go to the Data Quality Rules section.
    - Click on New Rule and define the rule conditions (e.g., no null values, valid email format).
  - Apply the rules to relevant data assets.
- Continuously monitor data quality:
  - Set up data quality dashboards:
    - Go to the Monitoring section.
    - Create dashboards to track data quality metrics.
  - Address any data quality issues:
    - Review the data quality reports and take corrective actions as needed.
Reporting and Visualization
- Use Power BI to create reports and dashboards:
  - Connect Power BI to Azure Synapse Analytics or Azure Data Lake Storage.
  - Create new reports and dashboards:
    - Use Power BI Desktop to design reports.
    - Publish the reports to the Power BI service.
- Ensure data governance and security:
  - Integrate Power BI with Purview:
    - Go to the Power BI section in the Purview portal.
    - Enable data governance features for Power BI datasets.
- Share reports and dashboards with stakeholders:
  - Configure access controls:
    - Set up roles and permissions in Power BI to control access to reports and dashboards.
  - Share the reports and dashboards:
    - Use the Power BI service to share reports with stakeholders while maintaining data security.

Scenario 4: Compliance Management for a Global Enterprise

Data Discovery
- Scan and catalog data assets across on-premises and cloud environments using Purview:
  - Navigate to the Microsoft Purview portal.
  - Go to the Data Map section.
- Set up data source connections and configure scan settings:
  - Click on Register and select the data source type (e.g., Azure SQL Database, Azure Blob Storage, on-premises SQL Server).
  - Provide connection details:
    - For Azure SQL Database: Enter the server name, database name, and authentication details.
    - For Azure Blob Storage: Enter the storage account name and access key.
    - For on-premises SQL Server: Use the self-hosted integration runtime to connect.
  - Configure scan settings:
    - Set the scan scope: Select specific databases, tables, or containers to scan.
    - Schedule the scan frequency: Choose how often the scan should run (e.g., daily, weekly).
    - Configure advanced settings: Set up filters to include or exclude specific data assets.
- Initiate scans to discover and catalog data assets:
  - Click on Start Scan to begin the discovery process.
  - Monitor the scan progress and review the results once completed.
Data Classification
- Classify data based on sensitivity and regulatory requirements using Purview's classification tools:
  - Go to the Classifications section.
  - Enable automatic classification:
    - Select the classifiers you want to apply (e.g., PII, financial data, health data).
    - Configure classification rules if needed.
- Apply sensitivity labels and classifications to discovered data assets:
  - Review the automatically classified data.
  - Manually apply or adjust sensitivity labels and classifications as needed.
- Review and refine classifications as needed:
  - Regularly review the classifications to ensure accuracy.
  - Update classification rules and labels based on new regulatory requirements or business needs.
Compliance Assessments
- Use Purview Compliance Manager to perform compliance assessments:
  - Navigate to the Compliance Manager section in the Purview portal.
  - Select relevant compliance templates (e.g., GDPR, CCPA, HIPAA).
  - Configure the assessment settings and scope.
- Identify compliance gaps and areas for improvement:
  - Run the compliance assessments.
  - Review the assessment results to identify compliance gaps and areas for improvement.
- Generate compliance reports and review assessment results:
  - Go to the Reports section.
  - Create and schedule compliance reports to document assessment results and actions taken.
Policy Implementation
- Implement data governance and compliance policies using Purview's policy management tools:
  - Go to the Policies section.
  - Click on Create Policy and define the policy name and description.
  - Specify the policy conditions (e.g., data retention, access controls, usage).
- Configure data retention, access, and usage policies:
  - Define retention periods for different data types.
  - Configure access controls to restrict data access based on roles.
  - Set usage policies to ensure data is used in compliance with regulations.
- Apply policies to relevant data sources and monitor for compliance:
  - Select the data sources to which the policies should apply.
  - Save and activate the policies.
  - Monitor the policies to ensure compliance.
Continuous Monitoring
- Set up monitoring dashboards in the Purview portal:
  - Go to the Monitoring section.
  - Create dashboards to track compliance status and data quality metrics.
- Continuously monitor compliance status and data quality:
  - Use real-time alerts and notifications:
    - Set up alerts for compliance issues and data quality risks.
    - Configure notifications to inform relevant stakeholders.
- Generate and review compliance reports regularly:
  - Go to the Reports section.
  - Create and schedule reports to review compliance status and governance effectiveness.
Incident Response
- Use Purview's audit and investigation tools to respond to compliance incidents:
  - Navigate to the Audit section in the Purview portal.
  - Configure audit settings to track user activities and changes.
  - Use the Investigation tools to analyze audit logs and identify incidents.
- Investigate potential compliance violations and take corrective actions:
  - Review the audit logs to investigate potential compliance violations.
  - Take corrective actions to address the violations.
- Document incident responses and review for continuous improvement:
  - Document the incident responses and actions taken.
  - Review the incident responses to identify areas for improvement and update policies as needed.

Examples of use cases

Collect metadata information from Apache Airflow

This capability is currently in public preview and is achieved through integration with OpenLineage, an open framework for data lineage collection and analysis.

How it works:

Enable OpenLineage in Airflow: By enabling OpenLineage in your Airflow instance, metadata and lineage information about jobs and datasets are automatically tracked as Directed Acyclic Graphs (DAGs) execute.
Azure Event Hubs: The tracked metadata and lineage information are sent to an Azure Event Hubs instance that you configure.
Microsoft Purview: Purview subscribes to the events from Azure Event Hubs, parses them, and ingests the metadata and lineage into the data map.

This integration supports capturing metadata such as:

Airflow workspace
Airflow DAG
Airflow task

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Microsoft Purview Free & Enterprise - Overview

Free vs Enterprise

Overview

Microsoft Purview Pricing Model

Key Differences

How Microsoft Purview can be used

Scenario 1: Data Governance for a Financial Institution

Scenario 2: Data Protection for a Healthcare Provider

Scenario 3: Data Analytics for an E-commerce Company

Scenario 4: Compliance Management for a Global Enterprise

Examples of use cases

Collect metadata information from Apache Airflow

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Microsoft Purview Free & Enterprise - Overview

Free vs Enterprise

Overview

Microsoft Purview Pricing Model

Key Differences

How Microsoft Purview can be used

Scenario 1: Data Governance for a Financial Institution

Scenario 2: Data Protection for a Healthcare Provider

Scenario 3: Data Analytics for an E-commerce Company

Scenario 4: Compliance Management for a Global Enterprise

Examples of use cases

Collect metadata information from Apache Airflow