SecurelyScale Data Engineering Workloads in Microsoft Fabric | Data Exposed

Security and performance are top of mind for every data engineer. In this episode, Santhosh Kumar Ravindran joins Anna Hoffman to demonstrate how to securely connect Spark to on-premises and private data sources using Managed Private Endpoints using private link service connectivity and enforce inbound and outbound restrictions. Plus, learn how to optimize costs with Autoscale billing and unlock up to 4x faster performance with the Native Execution Engine all without any code changes. 0:00 Introduction 3:20 Security for Fabric Data Engineering 7:30 Demo 11:00 Autoscale Billing for Spark - Flexible, Pay as you go 12:55 Acceleration Without Additional Cost with Native Engine ✅ Resources: Overview of Managed Private Endpoints for Fabric: https://learn.microsoft.com/en-us/fabric/security/security-workspace-level-private-links-overview Native Execution Engine for Fabric Data Engineering: https://learn.microsoft.com/en-us/fabric/data-engineering/native-execution-engine-overview?tabs=sparksql Autoscale Billing for Spark in Microsoft Fabric: https://learn.microsoft.com/en-us/fabric/data-engineering/autoscale-billing-for-spark-overview 📌 Let's connect: Twitter - Anna Hoffman, https://twitter.com/AnalyticAnna Twitter - AzureSQL, https://aka.ms/azuresqltw 🔴 Watch even more Data Exposed episodes: https://aka.ms/dataexposedyt 🔔 Subscribe to our channels for even more SQL tips: Microsoft Azure SQL: https://aka.ms/msazuresqlyt Microsoft SQL Server: https://aka.ms/mssqlserveryt Microsoft Developer: https://aka.ms/microsoftdeveloperyt #AzureSQL #SQL #LearnSQL