One SQL Anywhere – Part 4: Serving RAG Through a GraphQL API in Fabric
One SQL Anywhere – Part 4: Serving RAG Through a GraphQL API in Fabric In Part 3, we built a complete, vector-backed RAG pipeline sitting entirely inside a Fabric SQL Database. In Part 4, we put it to work. No custom backend services, no Express servers, and zero manual resolver code. See how Microsoft Fabric's API for GraphQL turns a T-SQL stored procedure into a fully typed, secure, and production-ready GraphQL endpoint in just a few clicks. Check out the final entry in the One SQL Anywhere series to see the full architecture come together!Open Mirroring in Microsoft Fabric: A Step-by-Step Hands-On Guide
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.Google BigQuery Mirroring in Microsoft Fabric: A Step-by-Step Guide
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.
