Download "Create Microsoft Fabric Lakehouses FAST with REST API! [Step-by-Step]"

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Table of contents
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Table of contents

0:00
Why automate Lakehouse creation?
0:44
Project setup: Fabric notebook & Python imports
2:14
Crafting the API endpoint + workspace ID
3:07
Building headers & JSON payload
4:40
Finding your workspace GUID in the URL
5:25
Writing the requests.post() call
6:22
403 error: you need an access token
7:56
Generate a token with mssparkutils.credentials
8:45
Running the call and reading the 201 response
9:57
Opening the freshly created Lakehouse in Fabric
10:19
Exploring notebook-utils help & next-step resources
Video tags
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Video tags

microsoft fabric
microsoft fabric tutorial
microsoft fabric lakehouse
microsoft fabric demo
lakehouse
microsoft fabric data warehouse
microsoft fabric notebook
fabric lakehouse
load data from rest api to lakehouse in microsoft fabric
what is microsoft fabric
microsoft fabric dataflow gen2
microsoft fabric data pipeline
microsoft fabric power bi
microsoft fabric data factory
fabric
microsoft fabric course
microsoft fabric onelake
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Skip the UI and build a Microsoft Fabric Lakehouse in seconds using the Fabric REST API—right from a Fabric notebook. In this hands-on guide, Zane Goodman calls POST /workspaces/{id}/lakehouses with Python requests, grabs an Entra ID token via mssparkutils.credentials.getToken(), sets JSON headers, and validates the 201 Created response. You’ll leave with a fresh Lakehouse and a reusable automation template. 🚀 You’ll learn: Where to find your Workspace ID How to set headers + payload for POST /workspaces/{id}/lakehouses How to generate an Entra ID access token with mssparkutils.credentials.getToken() How to parse the 201 response and confirm success How to reuse the template to automate Fabric resources 👍 If this saved you time, like & subscribe for more Fabric automation tutorials. #microsoftfabric #FabricRESTAPI #lakehouse #dataengineering #python #EntraID #azure #FabricNotebook #apiautomation #powerbi #dataplatform #pragmaticworks 👉 On-Demand Learning - Start With The FREE Community Plan: https://prag.works/odl-trial-yt 🔗Pragmatic Works On-Demand Learning Packages: https://pragmaticworks.com/pricing/ 🔗Pragmatic Works Boot Camps: https://pragmaticworks.com/boot-camps/ 🔗Pragmatic Works Hackathons: https://pragmaticworks.com/private-training/hackathons/ 🔗Pragmatic Works Virtual Mentoring: https://pragmaticworks.com/virtual-mentoring/ 🔗Pragmatic Works Enterprise Private Training: https://pragmaticworks.com/private-training/customized-enterprise-training/ 🔗Pragmatic Works Blog: http://blog.pragmaticworks.com/ 🕒 TIMESTAMPS: ⏰ 00:00 – Why automate Lakehouse creation? ⏰ 00:44 – Project setup: Fabric notebook & Python imports ⏰ 02:14 – Crafting the API endpoint + workspace ID ⏰ 03:07 – Building headers & JSON payload ⏰ 04:40 – Finding your workspace GUID in the URL ⏰ 05:25 – Writing the requests.post() call ⏰ 06:22 – 403 error: you need an access token ⏰ 07:56 – Generate a token with mssparkutils.credentials ⏰ 08:45 – Running the call and reading the 201 response ⏰ 09:57 – Opening the freshly created Lakehouse in Fabric ⏰ 10:19 – Exploring notebook-utils help & next-step resources Let's connect: ✔️Discord: https://prag.works/yt-discord ✔️Facebook: https://prag.works/yt-fb ✔️Instagram: https://prag.works/yt-insta ✔️LinkedIn: https://prag.works/yt-li Pragmatic Works 7175 Hwy 17, Suite 2 Fleming Island, FL 32003 Phone: (904) 638-5743 Email: training@pragmaticworks.com #PragmaticWorks

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