Understanding SQL Analytics Endpoint in Microsoft Fabric
Microsoft Fabric Tutorial for Beginners
📘 What is the SQL Analytics Endpoint?
The SQL Analytics Endpoint in Microsoft Fabric provides a T-SQL-compatible interface for querying data stored in Delta tables inside a Lakehouse. It bridges the gap between modern big data storage and traditional SQL-based analytics by enabling direct connectivity with your favorite SQL tools.
✅ Why It Matters
- 🔁 Enables familiar T-SQL queries on modern Delta Lake data
- 🔌 Connects to external SQL tools like SSMS, Azure Data Studio, and Power BI
- ⚡ No data movement — query directly over your Lakehouse tables
- 🔐 Enforces centralized security via Microsoft Entra ID (Azure AD)
🧠 How It Works
Every Lakehouse in Microsoft Fabric comes with a built-in SQL analytics endpoint. This endpoint exposes Delta tables in a SQL-friendly format so that analysts, developers, and BI tools can connect using standard connection strings.
🧰 How to Connect from SQL Tools
- Open SQL Server Management Studio (SSMS) or Azure Data Studio
- Use the SQL endpoint URL from the Lakehouse’s settings page
- Set Authentication Type to
Azure Active Directory - Universal with MFA - Run T-SQL queries directly over your Delta tables
Example query:
SELECT * FROM Sales_DeltaTable WHERE Region = 'North America'🔐 Security, Performance & Access
- Enforces workspace-level and Lakehouse-level permissions
- Integrates with Microsoft Purview for data governance
- Allows read access with row-level security and audit trails
- Optimized for high-performance read workloads over large data volumes
💼 Practical Use Cases
- Data analysts querying Lakehouse data using SSMS without learning Spark
- BI professionals integrating Power BI with Lakehouse data via DirectLake or SQL endpoint
- Data engineers validating data pipelines using familiar SQL syntax
- Security and governance teams auditing access and usage
No comments:
Post a Comment
Note: Only a member of this blog may post a comment.