Using Microsoft Purview with Dataverse

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Introduction

In the modern world, where data is considered one of the most valuable assets for any organization, ensuring proper governance, compliance, and security of data is crucial. This is particularly true for organizations using Microsoft’s Power Platform, which includes Dataverse, the underlying data platform for Power Apps, Power Automate, and Power Virtual Agents. As the volume of data grows, organizations face increasing challenges in managing data, ensuring its security, and meeting regulatory compliance requirements.

To address these challenges, Microsoft offers Microsoft Purview, a unified data governance solution that allows organizations to manage their data assets comprehensively. Microsoft Purview integrates with a variety of data platforms, including Dataverse, and offers a suite of features designed to support data discovery, classification, security, privacy, and compliance.

This article explores how organizations can use Microsoft Purview with Dataverse to implement effective data governance strategies, achieve regulatory compliance, and enhance their data management processes.


What is Microsoft Purview?

Microsoft Purview is an enterprise data governance platform that helps organizations manage, protect, and monitor their data landscape. It offers a set of comprehensive capabilities, including:

  • Data Cataloging: Automatically discovering, classifying, and tagging data across multiple data sources.
  • Data Classification: Identifying sensitive or regulated data and applying appropriate controls.
  • Data Lineage: Understanding the flow of data through systems and tracking its lifecycle.
  • Access Control: Managing who has access to data and enforcing policies to protect it.
  • Data Insights: Providing actionable insights into data usage, access patterns, and compliance status.
  • Compliance Management: Helping organizations ensure their data management practices align with regulatory requirements such as GDPR, HIPAA, and others.

With Microsoft Purview, organizations gain a single pane of glass to manage and govern their data, ensuring that the right controls are in place and that the data is used ethically, securely, and in compliance with regulations.

What is Dataverse?

Dataverse is a data platform and storage solution built into the Microsoft Power Platform. It provides a structured environment for securely storing and managing data used by business applications such as Power Apps, Power Automate, and Power Virtual Agents. Dataverse enables businesses to model, manage, and govern data with ease. Key features of Dataverse include:

  • Structured Data Storage: Dataverse provides relational data storage with tables, relationships, and business logic to manage data.
  • Security and Permissions: Data security is built-in, allowing organizations to define user roles and permissions at granular levels.
  • Integration with Microsoft Ecosystem: Dataverse integrates with other Microsoft services such as Azure, Microsoft 365, Dynamics 365, and more, ensuring seamless data flow and accessibility.
  • Business Rules and Workflows: Dataverse allows businesses to implement business rules and automate workflows that govern data.

For organizations utilizing Dataverse, governance and compliance are critical to ensuring that their data is managed in a way that aligns with internal policies and external regulations. This is where Microsoft Purview comes into play.

Benefits of Integrating Microsoft Purview with Dataverse

Integrating Microsoft Purview with Dataverse provides organizations with the tools necessary to implement a robust data governance framework. The integration enables organizations to gain deeper insights into their data, apply policies that ensure compliance with regulations, and improve overall data management practices. Some key benefits of using Microsoft Purview with Dataverse include:

  1. Comprehensive Data Discovery and Classification Microsoft Purview helps organizations discover data assets across their entire data estate, including those in Dataverse. This includes identifying and classifying sensitive data such as personally identifiable information (PII), financial records, or other regulated data. The ability to automatically classify data makes it easier for organizations to manage and enforce privacy policies and compliance requirements, such as those outlined in GDPR or CCPA.
    • How Purview Classifies Dataverse Data: When integrating with Dataverse, Microsoft Purview scans tables, columns, and rows to classify data based on predefined categories. This can be especially useful for identifying sensitive data types like social security numbers, credit card information, or health records.
  2. Data Lineage and Transparency Understanding the lineage of data is crucial for compliance and governance. Microsoft Purview allows organizations to trace the lineage of data within Dataverse, providing visibility into how data is created, transformed, and consumed across various applications. This capability helps organizations answer critical questions like:
    • Where does this data originate?
    • What happens to it along the way?
    • Who is accessing or modifying it?
    The ability to track data lineage supports auditability and transparency, which is vital for regulatory compliance, internal audits, and data integrity verification.
  3. Access Control and Data Security In any data governance framework, ensuring that only authorized individuals have access to sensitive data is a core principle. Microsoft Purview, when integrated with Dataverse, enhances access control by providing a centralized view of who is accessing what data and how. It enables businesses to implement strict access policies based on roles and user permissions, ensuring that sensitive data is protected from unauthorized access. Key capabilities include:
    • Role-Based Access Control (RBAC): Define roles and permissions within Dataverse, restricting access to certain data based on user needs.
    • Data Masking: Masking sensitive data fields when accessed by unauthorized users, ensuring that only those with the right permissions can view the unmasked data.
  4. Compliance and Regulatory Reporting Compliance is one of the major drivers behind adopting Microsoft Purview, particularly when it comes to managing data in regulated industries such as healthcare, finance, and retail. Microsoft Purview provides a set of tools for managing compliance with a variety of standards, such as GDPR, HIPAA, and SOC 2. By using Purview with Dataverse, organizations can ensure they meet legal and regulatory requirements for data retention, deletion, and reporting.
    • Audit and Reporting: Purview offers built-in reporting and auditing features that allow organizations to track data usage and access patterns, ensuring they meet regulatory obligations.
    • Retention Policies: Organizations can configure data retention policies in Purview that integrate with Dataverse, ensuring that data is kept for the appropriate duration and deleted when no longer needed.
  5. Unified Data Governance Across Microsoft Ecosystem One of the most powerful aspects of Microsoft Purview is its ability to unify data governance across different Microsoft services and data platforms. When integrated with Dataverse, Purview extends its governance capabilities across the broader Microsoft ecosystem, including Microsoft 365, Azure, and Dynamics 365. This unified approach to governance enables organizations to maintain consistent policies and controls across their entire data landscape, from applications to databases to cloud storage.
    • Centralized Data Governance: With Purview, all data governance efforts are centralized, making it easier to manage and enforce policies across various Microsoft environments.
    • Seamless Integration with Power Platform: Purview integrates seamlessly with Dataverse and Power Platform, providing a centralized governance framework for all the data that flows through Power Apps, Power Automate, and Power Virtual Agents.

Setting Up Microsoft Purview with Dataverse

To leverage the full potential of Microsoft Purview with Dataverse, organizations need to configure and integrate both platforms. Below is a step-by-step guide on how to get started:

  1. Set Up Microsoft Purview Account To begin using Microsoft Purview, you need to have an active Purview account. You can sign up through the Azure portal. Once you’ve created an account, you’ll be able to configure your data governance settings and connect to different data sources, including Dataverse.
  2. Connect Microsoft Purview to Dataverse After setting up Purview, the next step is to establish a connection between Purview and Dataverse. This typically involves creating a data source connection in Purview to access the Dataverse environment. The following steps can help with this integration:
    • In Microsoft Purview, go to the Data Map section and choose Add Data Source.
    • Select Microsoft Dataverse as your data source and authenticate the connection with your Dataverse credentials.
    • Purview will now begin discovering and cataloging the data within your Dataverse environment.
  3. Configure Data Classification and Sensitivity Labels Once Dataverse is connected to Microsoft Purview, you can start configuring data classification rules and sensitivity labels. You can classify data based on predefined policies (e.g., PII, financial data) or define custom classifications.
  4. Define Retention and Access Policies Configure data retention policies and access controls based on your organization’s data governance needs. This may include setting expiration dates for certain data types or restricting access to sensitive data.
  5. Monitor and Report on Data Usage Finally, you can monitor the data lifecycle, access patterns, and compliance status using Purview’s reporting and audit features. These insights allow organizations to continuously improve their data governance strategies.

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