Microsoft Purview In A Day

Microsoft Purview In A Day is a single day event which is all about Data Governance. During the day you'll participate in different presentations, inspiration sessions and hands-on challenges. It provides a good balance between state-of-the-art theory and hands-on experience.

The Purview In A Day is all about 2 challenges in which you'll be enabled with relevant concepts, and go deep in a hands-on exercises.

Challenge 1

[Liam, Wesley] To be completed with a concrete explanation.

Challenge 2

[Cedric] To be completed with a concrete explanation.

What is Microsoft Purview?

Microsoft Purview is a unified data governance service that helps you manage and govern your on-premises, multi-cloud and software-as-a-service (SaaS) data. Easily create a holistic, up-to-date map of your data landscape with automated data discovery, sensitive data classification and end-to-end data lineage. Empower data consumers to find valuable, trustworthy data.

📚 Preface

• Preface: Introduction to Data Governance and Purview

🤔 Prerequisites

To complete this workshow you'll need to have access to an Azure subscription, and be able to install a custom template.

• An Azure account with an active subscription. Note: If you don't have access to an Azure subscription, you may be able to start with a free account.
• You must have the necessary privileges within your Azure subscription to create resources, perform role assignments, register resource providers (if required), etc.

🧪 Lab Environment Setup

Before getting started read below tutorial of how to setup to different services in your account.

• Lab Environment

📚 Challenge 1

0. Create a Microsoft Purview Account
1. Register & Scan: 2A. Azure Data Lake Storage Gen2 (Managed Identity) | 2B. Azure SQL Database (Azure Key Vault)
2. Collection Hierarchy
3. Data catalog
4. Lineage

📚 Challenge 2

0. If not already done, create a Microsoft Purview Account
1. Glossary
2. Insights
3. Data Sharing
4. Metamodel

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All Modules

1. Create a Microsoft Purview Account
2. Register & Scan: 2A. Azure Data Lake Storage Gen2 (Managed Identity) | 2B. Azure SQL Database (Azure Key Vault)
3. Search & Browse
4. Glossary
5. Classifications
6. Lineage
7. Insights
8. Monitor
9. Integrate with Azure Synapse Analytics
10. REST API
11. Securely scan sources using Self-Hosted Integration Runtimes
12. Managed private endpoints
13. Process events using Atlas Kafka topics via Event Hubs and NodeJS
14. Data owner policies (Azure Storage)
15. Azure SQL Database Lineage Extraction
16. Data Sharing
17. Metamodel