Kaganapan
Mar 31, 11 PM - Abr 2, 11 PM
Ang pinakamalaking Tela, Power BI, at SQL learning event. Marso 31 – Abril 2. Gamitin ang code FABINSIDER upang makatipid ng $ 400.
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In this tutorial, you learn different ways to create a Lakehouse in Microsoft Fabric.
To create a lakehouse, you need access to a Fabric enabled workspace. Fabric admins can enable trial or paid capacity for a tenant or users. If Fabric isn't enabled, you won't see the lakehouse card.
The lakehouse creation process is quick and simple; there are several ways to get started.
Data Engineering homepage
Workspace view
Create page
Browse to the Data Engineering homepage.
Under the New section, locate the Lakehouse card and select it to get started with the creation process
Enter a name for the lakehouse and a sensitivity label if your organization requires one, and select Create.
Once the lakehouse is created, you land on the Lakehouse Editor page where you can get started and load data.
Note
The lakehouse will be created under the current workspace you are in.
To delete a lakehouse, navigate to OneLake data hub and find your lakehouse. select the ... next to the lakehouse name and select Delete. The lakehouse and its associated SQL analytics endpoint and semantic model are deleted.
Note
Now that you have successfully created your Lakehouse, learn more about:
Different ways to load data in Lakehouse, see Options to get data into the Fabric Lakehouse
Exploring your lakehouse explorer, see Navigating the Lakehouse explorer
Kaganapan
Mar 31, 11 PM - Abr 2, 11 PM
Ang pinakamalaking Tela, Power BI, at SQL learning event. Marso 31 – Abril 2. Gamitin ang code FABINSIDER upang makatipid ng $ 400.
Magparehistro naPagsasanay
Module
Get started with lakehouses in Microsoft Fabric - Training
Get started with lakehouses in Microsoft Fabric
Sertipikasyon
Microsoft Certified: Fabric Data Engineer Associate - Certifications
As a Fabric Data Engineer, you should have subject matter expertise with data loading patterns, data architectures, and orchestration processes.