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Azure Databricks and Microsoft Fabric Integration (April 2025)

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المحتوى المقدم من DataQubi. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرة بواسطة DataQubi أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.player.fm/legal.

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Discover how Azure Databricks and Microsoft Fabric are working "hand-in-glove" to forge a robust hybrid data estate as of April 2025. This episode delves into the complementary strengths of each platform, where Databricks excels in heavy data processing, data engineering, and AI/ML, while Fabric provides unified analytics, business intelligence, and a centralized data hub with OneLake2 .

We'll explore how their seamless integration streamlines the data supply chain from ingestion to actionable insights . Learn about Databricks' role in ingesting data from diverse sources and performing heavy transformations, and how it writes processed data directly to Fabric's OneLake .... We'll also cover how Fabric mirrors external data sources into OneLake and offers lightweight transformations.

Understand the critical role of OneLake as the shared storage and how Unity Catalog governs data in Databricks, with metadata mirrored in Fabric , creating a single source of truth. We'll highlight how this integration powers advanced analytics in Databricks and enables real-time Power BI reporting in Fabric via Direct Lake mode

Gain insights into the security nuances, including centralized access control with Unity Catalog in Databricks and RBAC in Fabric, as well as data protection through encryption8 and auditing with Microsoft Purview . We'll also discuss the networking aspects, covering connectivity options like VNet peering and firewall considerations

Finally, we'll touch upon the latest 2025 updates, such as enhanced Unity Catalog integration, semantic model publishing ..., improved Databricks activities in Data Factory, and OAuth token federation for secure API access ..., showcasing how these developments further deepen the collaboration between Azure Databricks and Microsoft Fabric for a modern, scalable, and insightful data estate .

Support the show

Thank you for tuning in to "Analyze Happy: Crafting Your Data Estate"!
We hope you enjoyed today’s deep dive. If you found this episode helpful, don’t forget to subscribe for more insights on building modern data estates with Microsoft technologies like Fabric, Azure Databricks, and Power Platform.

Connect with Us:

  • Have a question or topic you’d like us to cover? Reach out on linkedin.com/company/dataqubi or [email protected]
  • Visit our website at www.dataqubi.com or episode resources, show notes, and additional tips on data governance, AI transformation, and best practices.

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!

  continue reading

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Artwork
iconمشاركة
 
Manage episode 476360333 series 3656088
المحتوى المقدم من DataQubi. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرة بواسطة DataQubi أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.player.fm/legal.

Send us a text

Discover how Azure Databricks and Microsoft Fabric are working "hand-in-glove" to forge a robust hybrid data estate as of April 2025. This episode delves into the complementary strengths of each platform, where Databricks excels in heavy data processing, data engineering, and AI/ML, while Fabric provides unified analytics, business intelligence, and a centralized data hub with OneLake2 .

We'll explore how their seamless integration streamlines the data supply chain from ingestion to actionable insights . Learn about Databricks' role in ingesting data from diverse sources and performing heavy transformations, and how it writes processed data directly to Fabric's OneLake .... We'll also cover how Fabric mirrors external data sources into OneLake and offers lightweight transformations.

Understand the critical role of OneLake as the shared storage and how Unity Catalog governs data in Databricks, with metadata mirrored in Fabric , creating a single source of truth. We'll highlight how this integration powers advanced analytics in Databricks and enables real-time Power BI reporting in Fabric via Direct Lake mode

Gain insights into the security nuances, including centralized access control with Unity Catalog in Databricks and RBAC in Fabric, as well as data protection through encryption8 and auditing with Microsoft Purview . We'll also discuss the networking aspects, covering connectivity options like VNet peering and firewall considerations

Finally, we'll touch upon the latest 2025 updates, such as enhanced Unity Catalog integration, semantic model publishing ..., improved Databricks activities in Data Factory, and OAuth token federation for secure API access ..., showcasing how these developments further deepen the collaboration between Azure Databricks and Microsoft Fabric for a modern, scalable, and insightful data estate .

Support the show

Thank you for tuning in to "Analyze Happy: Crafting Your Data Estate"!
We hope you enjoyed today’s deep dive. If you found this episode helpful, don’t forget to subscribe for more insights on building modern data estates with Microsoft technologies like Fabric, Azure Databricks, and Power Platform.

Connect with Us:

  • Have a question or topic you’d like us to cover? Reach out on linkedin.com/company/dataqubi or [email protected]
  • Visit our website at www.dataqubi.com or episode resources, show notes, and additional tips on data governance, AI transformation, and best practices.

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!

  continue reading

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