Microsoft Fabric continues to evolve as a unified analytics platform, and Open Mirroring is one of its most powerful additions. It enables seamless, near real-time data ingestion into OneLake without managing complex pipelines or connections.

In this blog, I’ll walk you through Open Mirroring in Microsoft Fabric using a practical, hands-on example, covering initial load, incremental updates, and schema changes.

In this blog, we will walk through how to mirror Google BigQuery tables into Microsoft Fabric using the Mirrored Google BigQuery (Preview) feature. This allows organizations to operationalize data across cloud platforms without building or maintaining complex ETL pipelines. Let’s get started.

Keeping up with all the new features and technology in Microsoft Fabric can feel overwhelming. That’s why we’re excited to bring you a live, 6-session series designed to make learning easier and more interactive. Whether you’re just getting started or ready to dive into advanced topics like performance monitoring and tuning, this series has something for everyone.

You can join us for just one session or stick around for the entire journey—it’s up to you! Plus, with Microsoft Fabric experts leading the sessions, you’ll have the chance to get your questions answered in real time.

In this article, I will be sharing 7 tips to quickstart & boost your databases in Fabric development