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 online format and consists of 6 units and a final project. The course lasts 115 hours . distributes between the content and the collaboration tools. Upon completion, the student will receive a certificate of completion.

The training is conducted through our Virtual Campus, With this option, you will have access to all the course content on the platform, 24 hours a day, 7 days a week, from the first day of the course. Students will also have access to participation forums , as well as a 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 organizations' most valuable assets, ensuring its proper governance, protection, and regulatory compliance is a strategic challenge. Microsoft Purview offers a unified platform that enables companies to understand, manage, and protect their information throughout its entire lifecycle, across Microsoft 365 environments, Azure , and hybrid data sources.

This course provides a comprehensive and practical overview of Microsoft Purview , covering 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 risk, improve information security, and comply with leading privacy and data protection regulations and standards.

Addressed to

  • CISO
  • CIO
  • Security Officers
  • Compliance Officers
  • Data Governance Managers
  • Cloud Architects
  • Microsoft Consultants

Training objectives

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

  • Understanding the role of Microsoft Purview as a comprehensive data governance, protection, and compliance platform.
  • Identify and classify sensitive information in Microsoft 365 and Azure using labels and classification policies.
  • Configure and manage information protection policies, including encryption and access control.
  • Implement Data Loss Prevention (DLP) policies to reduce the risk of data leaks.
  • Manage the data lifecycle and the processes of information retention and disposal.
  • Utilize Microsoft Purview's compliance capabilities to respond to audits, investigations, and legal requirements.
  • Apply good data governance practices aligned with business needs and current regulatory frameworks.

Microsoft Purview Course Content

Unit 1 Microsoft Purview Fundamentals

Aim:

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

Contents: What is Microsoft Purview

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

Practice:

  • Access to the portal
  • Identification of modules (Data Governance, Compliance, Information Protection)
  • Map of capabilities vs. needs of your organization

Unit 2 Initial Setup and First Scan

Aim:

  • Successfully starting Purview in a real environment.

Contents: Creating a Purview Account

  • Data source registration (Azure, M365, SQL, etc.)
  • Purview Studio
  • First scan

Practice:

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

Unit 3 Data Integration and Analysis

Aim:

  • 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

Aim:

  • Apply intelligent protection based on sensitive data.

Contents:

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

Practice:

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

Unit 5 Compliance and Risk Management

Aim:

  • Ensure regulatory compliance and respond to internal risks.

Contents: eDiscovery

  • Advanced search
  • Preconfigured regulatory models
  • Retention policies
  • Insider Risk Management

Practice:

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

Unit 6 Automation and Innovation with AI

Aim:

  • 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 REST API call
  • Automation case study
  • AI scenario + automatic classification

Final project

Comprehensive case study:

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

Delivery:

  • Technical document
  • Architectural scheme
  • Policies created

Prerequisites

For optimal benefit from the course, participants are advised to 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 required).
    General understanding of compliance regulations and data privacy (such as GDPR or other applicable regulations).
  • This course is aimed at IT administrators, security and compliance officers, solutions architects, consultants and professionals involved in the management, protection and governance of corporate information.

Other training modalities

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