אירוע
31 במרץ, 23 - 2 באפר׳, 23
האירוע הגדול ביותר של Fabric, Power BI ו- SQL learning. 31 במרץ - 2 באפריל. השתמש בקוד FABINSIDER כדי לחסוך $400.
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Microsoft Fabric provides a SQL-based experience for lakehouse Delta tables. This SQL-based experience is called the SQL analytics endpoint. You can analyze data in Delta tables using T-SQL language, save functions, generate views, and apply SQL security. To access SQL analytics endpoint, you select a corresponding item in the workspace view or switch to SQL analytics endpoint mode in Lakehouse explorer.
Creating a lakehouse creates a SQL analytics endpoint, which points to the lakehouse Delta table storage. Once you create a Delta table in the lakehouse, it's available for querying using the SQL analytics endpoint. Both warehouse documentation and SQL database in Microsoft Fabric automatically provision a SQL analytics endpoint when created.
We offer the ability to retry SQL analytics endpoint provisioning directly within a lakehouse. Therefore if your initial provisioning attempt fails, you have the option to try again without the need to create an entirely new lakehouse. This feature empowers you to self-mitigate provisioning issues in convenient way in the UI avoiding the need for complete lakehouse re-creation.
הערה
It's important to note that while this feature improves the user experience, a SQL analytics endpoint re-provisioning can still fail, just as it can during the initial creation of a lakehouse.
The SQL analytics endpoint operates in read-only mode over lakehouse Delta tables. You can only read data from Delta tables using the SQL analytics endpoint. While you can only perform read operations on Delta tables through the SQL analtyics endpoint, you have the flexibility to create functions, define views, and implement SQL object-level security to manage access and structure your data effectively.
הערה
External Delta tables created with Spark code won't be visible to the SQL analytics endpoint. Use shortcuts in Table space to make external Delta tables visible to the SQL analytics endpoint. To learn how to create a shortcut, see Create a shortcut to files or tables.
To modify data in lakehouse Delta tables, you have to switch to lakehouse mode and use Apache Spark.
You can set object-level security for accessing data using SQL analytics endpoint. These security rules will only apply for accessing data via SQL analytics endpoint. To ensure data is not accessible in other ways, you must set workspace roles and permissions, see Workspace roles and permissions.
אירוע
31 במרץ, 23 - 2 באפר׳, 23
האירוע הגדול ביותר של Fabric, Power BI ו- SQL learning. 31 במרץ - 2 באפריל. השתמש בקוד FABINSIDER כדי לחסוך $400.
הירשם עוד היוםהדרכה
נתיב למידה
ליישם בית אגם עם Microsoft Fabric DP-601T00 - Training
נתיב למידה זה מציג את הרכיבים היסודיים של יישום אגם נתונים עם Microsoft Fabric. (DP-601T00)
אישור
Microsoft Certified: Fabric Analytics Engineer Associate - Certifications
כמשויך מהנדס ניתוחים של Fabric, אתה אמור להיות בעל מומחיות בתכנון, יצירה ופריסה של פתרונות ניתוח נתונים בקנה מידה ארגוני.
תיעוד
Lakehouse schemas (Preview) - Microsoft Fabric
What lakehouse schemas are and how to use it
Options to get data into the Lakehouse - Microsoft Fabric
Learn how to load data into a lakehouse via a file upload, Apache Spark libraries in notebook code, and the copy tool in pipelines.
Better together - the lakehouse and warehouse - Microsoft Fabric
Learn more about scenarios for the lakehouse and data warehousing workloads in Microsoft Fabric.