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Welcome to Analyze Happy: Crafting Your Modern Data Estate Podcast. In this deep dive episode, we tackle a critical aspect of building your data future with Microsoft Fabric: security and governance.

As you embrace the power of a unified analytics solution , ensuring the safety and compliance of your data is paramount. Fabric offers a multi-layered security model to address diverse data access requirements.

We'll explore how to apply granular permissions using workspace roles, item permissions, and the OneLake data access roles (preview). Learn how to configure data access through the SQL analytics endpoint and manage permissions for lakehouses, warehouses, and semantic models. Understand that workspace roles grant implicit permissions, while item permissions allow for fine-grained control over individual Fabric items.

Given the focus on OneLake in our previous discussion and the sources, we'll emphasize OneLake security best practices. Discover how to restrict access to specific folders and tables within a lakehouse for various workloads like Apache Spark and SQL analytics endpoints .

We'll also address the crucial topic raised in Don Heerschap's paper: network security for OneLake. While Fabric offers robust data security features, actively setting up network security features like private links remains essential to protect your data from public internet access.

Furthermore, we’ll delve into data protection using sensitivity labels from Microsoft Purview Information Protection, ensuring your data remains classified and protected throughout its lifecycle, even when exported.

Finally, we'll touch upon the governance capabilities within Fabric, leveraging the Admin portal, domains, capacities, and Microsoft Purview to manage, protect, and ensure compliance across your data estate

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• Have a question or topic you’d like us to cover? Reach out on linkedin.com/company/dataqubi or support@dataqubi.com
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Stay Ahead:
Check out the Microsoft Learn portal for free training on Azure IoT, Fabric, and more, or explore the Azure Databricks community for the latest updates. Let’s keep crafting data solutions that fit your organization’s culture and tech landscape—happy analyzing until next time!