Azure

Create Your First Pipeline to Copy Information to Lakehouse

Introduction

On this article, you’ll be taught to construct an information pipeline to maneuver a Pattern dataset to the Lakehouse. This expertise reveals you a fast demo about use pipeline copy exercise and load information into Lakehouse.

Stipulations

To get began, you will need to full the next stipulations.

Create an information pipeline

Step 1. Login to Microsoft Cloth.

Step 2. Choose Energy BI.

Power BI

Step 3. Choose your Workspace.

Workspace

Step 4. Choose Information Pipelin.

Data pipeline

Step 5. Assign a reputation to the Pipeline (Demo in my instance) and click on create.

Demo

Step 6. Now it is best to see a display much like the one under.

Screen

Step 7. Now click on “Copy information”

Copy data

Step 8. You will notice some pattern information as proven under.

Sample

Step 9. Choose Diabetes information and click on Subsequent.

Data source

Step 10. See the information and click on Subsequent.

Next

Step 11. Choose Lakhouse within the select vacation spot step.

Select destination

Step 12. Choose the Lakehouse. If you do not have one, choose the Create New Lakehouse Possibility.

Lakehouse

Step 13. You’ll be able to test the small print like desk title, and so forth, and click on Subsequent.

Details

Step 14. Evaluation, then Click on Save+Run as proven under.

Copy data

Step 15. The Copy exercise is added to your new information pipeline canvas. All settings, together with superior settings for the exercise, can be found within the tabs under the pipeline canvas when the created Copy information exercise is chosen.

Selected

Step 16. Click on the Exercise Title to be taught extra particulars.

Activity

Lastly, you may have created a replica of the information to Lakehouse and executed it. 

Conclusion

It’s also possible to schedule the pipeline to run with a particular frequency as required. Under is an instance of scheduling the pipeline to run each quarter-hour. You’ll be able to create this pipeline in underneath 10 minutes primarily based on the scale of the information, 

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