← Microsoft Purview Complete Course: Data Security, Governance, Compliance, and AI
1. Understand the Purview Security and Governance System
Map the Purview Landscape and Its Security Boundaries Translate Licensing, Roles, and Governance into an Operating Model
2. Discover, Map, and Curate the Data Estate
Design Data Map Scanning and Metadata Collection Build Unified Catalog, Lineage, Quality, and Data Products
3. Classify and Protect Information
Engineer Sensitive Information Types and Classifiers Design Sensitivity Labels, Publishing, and Auto-Labeling
4. Prevent Unsafe Data Movement
Design DLP Policies from Business Scenarios Extend DLP to Endpoints, Browsers, Teams, and AI
5. Govern the Information Lifecycle
Design Retention Policies and Labels Operate Records, Events, Disposition, and Legal Holds
6. Investigate and Preserve Evidence
Use Purview Audit as Evidence Run eDiscovery Cases, Holds, Searches, and Reviews
7. Manage Human, Communication, and Compliance Risk
Operate Insider Risk and Communication Compliance Responsibly Use Information Barriers and Compliance Manager as Governed Controls
8. Protect Privacy, SharePoint, Microsoft 365, and AI
Secure SharePoint and Microsoft 365 Collaboration Paths Govern Microsoft 365 Copilot and Other Generative AI Protect Privacy and Support Data-Subject Workflows
9. Integrate, Report, and Operate Purview
Integrate Scanners, APIs, Reporting, and Multi-Cloud Sources Run Purview as a Production Security Service Turn DSPM Findings into Data Security Investigations
10. Design and Prove a Complete Purview Program
Build the Purview Target Architecture and Roadmap Capstone: Prove the Security Layer End to End
9. Integrate, Report, and Operate Purview

Integrate Scanners, APIs, Reporting, and Multi-Cloud Sources

Design reliable integrations with clear capability boundaries, pagination, identity, reconciliation, and ownership.

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In this lesson, you will learn to:

  • Apply a repeatable method for integrate scanners, apis, reporting, and multi-cloud sources in a licensed, governed, and testable Purview environment.

Integrate Scanners, APIs, Reporting, and Multi-Cloud Sources

This lesson develops a practical understanding of integrate scanners, apis, reporting, and multi-cloud sources and connects design choices to supported capabilities, operational dependencies, user impact, and verifiable evidence.

Integration expands visibility only when the pipeline is trustworthy

Purview integrations can register and scan data sources, import metadata, expose APIs, export insights, and connect reporting workflows. Each integration needs a purpose, source owner, identity, network route, schema, refresh expectation, capacity assumption, error handling, and reconciliation method.

For on-premises repositories, validate scanner service identities, local permissions, database access, connectivity, supported formats, schedules, and health. A service account that can start a scan may still lack access to representative content. Use the scanner health warning guide for systematic checks.

For APIs, page large collections, exclude unnecessary relationship expansion, bound concurrency, and make writes idempotent. Store checkpoints and reconcile ambiguous timeouts. Integration reliability is part of governance because stale or duplicated metadata changes decisions.

Integration expands visibility only when the pipeline is trustworthyA lesson-specific visual explains integration expands visibility only when the pipeline is trustworthy through four connected concepts.Integration expands visibility only when the pipeline is trustworthySource identityBounded transferReconciliationFresh metadata
Integration expands visibility only when the pipeline is trustworthy — A visual model connects Source identity, Bounded transfer, Reconciliation, Fresh metadata.

Reporting must preserve definitions and denominators

A dashboard is a model built from selected sources, time windows, filters, and refresh jobs. Define every metric: what counts as an asset, labeled item, DLP event, override, stale scan, governed product, or high-risk AI interaction. Show the eligible population and telemetry health beside the result.

When exporting Data Estate Insights or other Purview data to Power BI, record supported export mechanisms, API boundaries, pagination, transformation logic, refresh identity, schema changes, and reconciliation totals. The Purview reporting and Power BI guide explains the controlled pattern.

Separate Data Map metadata from Microsoft 365 enforcement telemetry. A classification count in Data Map does not prove a DLP policy protected the asset. Build a relationship between governance coverage, control coverage, outcomes, and evidence without merging unlike denominators.

Reporting must preserve definitions and denominatorsA lesson-specific visual explains reporting must preserve definitions and denominators through four connected concepts.Reporting must preserve definitions and denominatorsMetric definitionEligible populationTelemetry healthDecision
Reporting must preserve definitions and denominators — A practical control view connects Metric definition, Eligible population, Telemetry health, Decision.

Resources

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