Microsoft Purview: Data Governance, Protection, and Compliance in Microsoft 365 and Azure

€695.00
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Microsoft Purview Course: Data Governance, Protection, and Compliance in Microsoft 365 and Azure

This course is taught in an  online format and consists of 6 units and a final project. The course duration is 115 hours distributed between content and collaboration tools. Upon completion, the student will receive an accredited diploma.

The training takes place through our Virtual Campus, with this modality you will have all the didactic content on the course platform and it will be accessible, from the start date of the course, 24 hours a day, every day of the week. Students will also have access to participation forums, as well as continuous tutoring.

 

Microsoft Purview - Data Governance - Information Protection - Regulatory Compliance - Microsoft 365 - Azure - Data Governance - Data Security - Compliance

 

Introduction

In a context where data has become one of the main assets of organizations, ensuring its correct governance, protection, and regulatory compliance is a strategic challenge. Microsoft Purview offers a unified platform that allows companies to understand, manage, and protect their information throughout its entire lifecycle, both in Microsoft 365 and Azure environments and hybrid data sources.

This course provides a comprehensive and practical overview of Microsoft Purview, addressing its key capabilities for data governance, information classification and protection, lifecycle management, data loss prevention (DLP), and regulatory compliance. Participants will learn to design and implement policies that help reduce risks, improve information security, and comply with major privacy and data protection regulations and standards.

 

Aimed at

  • CISOs
  • CIOs
  • Security Managers
  • Compliance Managers
  • Data Governance Managers
  • Cloud Architects
  • Microsoft Consultants

 

Training objectives 

Upon completion of the course, participants will be able to:

  • Understand the role of Microsoft Purview as an integral platform for data governance, protection, and compliance.
  • Identify and classify sensitive information in Microsoft 365 and Azure through labels and classification policies.
  • Configure and manage information protection policies, including encryption and access control.
  • Implement Data Loss Prevention (DLP) policies to reduce information leakage risks.
  • Manage the data lifecycle and information retention and deletion processes.
  • Utilize Microsoft Purview's regulatory compliance capabilities to respond to audits, investigations, and legal requirements.
  • Apply best practices for data governance aligned with business needs and current regulatory frameworks.

 

Microsoft Purview course content

Unit 1 Fundamentals of Microsoft Purview

Objective:

  • Understand Purview's strategic scope within the Microsoft ecosystem.

Contents: What is Microsoft Purview

  • Data governance
  • Information protection
  • Regulatory compliance
  • Real use cases
  • General architecture
  • Exploring the Purview portal

Practice: 

  • Accessing the portal
  • Identification of modules (Data Governance, Compliance, Information Protection)
  • Mapping capabilities vs. your organization's needs

Unit 2 Initial Configuration and First Scan

Objective:

  • Correctly start Purview in a real environment.

Contents: Creating a Purview account

  • Registering data sources (Azure, M365, SQL, etc.)
  • Purview Studio
  • First scan

Practice:

  • Create a Purview account
  • Register a source (e.g., Azure SQL or Data Lake)
  • Run the first scan
  • Visualize detected metadata

Unit 3 Data Integration and Analysis

Objective:

  • Connect Purview with analytical tools.

Contents: Automatic classification

  • Labels and glossaries
  • Data Insights
  • Traceability (Data Lineage)
  • Integration with:
    • Power BI
    • Azure Synapse

Practice:

  • Create a business glossary
  • Apply labels
  • Visualize Data Lineage
  • Connect Purview to Power BI

Unit 4 Advanced Security and Protection

Objective:

  • Apply intelligent protection based on sensitive data.

Contents:

  • Sensitivity labels
  • Encryption
  • Exact Data Match (EDM)
  • Custom classification
  • Protection policies

Practice:

  • Create a sensitivity label
  • Configure an automatic policy
  • Configure basic EDM
  • Simulate sensitive data detection

Unit 5 Compliance and Risk Management

Objective:

  • Ensure regulatory compliance and respond to internal risks.

Contents: eDiscovery

  • Advanced search
  • Pre-configured regulatory models
  • Retention policies
  • Insider Risk Management

Practice:

  • Create a retention policy
  • Simulate an eDiscovery case
  • Execute an advanced search
  • Review internal risk alerts

Unit 6 Automation and Innovation with AI

Objective:

  • Take Purview to an advanced level with AI and automation.

Contents: Integration with Azure AI Foundry

  • DSPM for AI
  • Purview REST APIs
  • Process automation
  • eDiscovery unification

Practice:

  • Basic call to REST API
  • Practical case of automation
  • AI + automatic classification scenario

Final project

Comprehensive practical case:

  • Design a data governance model for a fictitious company that includes:
  • Source registration
  • Classification
  • Protection policy
  • Retention policy
  • BI integration
  • Automation with AI

Delivery:

  • Technical document
  • Architectural schema
  • Created policies

 

Prerequisites

To make the most of the course, it is recommended that participants have:

  • Basic knowledge of Microsoft 365 (users, groups, main services).
    General familiarity with information security and data protection concepts.
    Basic experience in Microsoft Azure environments (recommended, not mandatory).
    General understanding of compliance and data privacy regulations (such as GDPR or other applicable regulations).
  • This course is aimed at IT administrators, security and compliance managers, solution architects, consultants, and professionals involved in the management, protection, and governance of corporate information.

 

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