Azure Analysis Service REST API Tutorial With Python(Jupyter) | Full End-to-End Automation Guide. скачать в хорошем качестве

Azure Analysis Service REST API Tutorial With Python(Jupyter) | Full End-to-End Automation Guide.

Learn how to integrate Azure Analysis Services (AAS) with the REST API using Python in Jupyter Notebook in this complete, step-by-step tutorial. In this video, we cover everything from authentication, metadata operations, model refresh automation, and real-time interaction with your tabular models using Python scripts. If you are a Data Engineer, Azure Developer, BI Engineer, or Automation Specialist, this guide will help you streamline AAS operations without relying on SSMS or manual processes. On this channel Learn and Share (   / @learnandshare9222  , you will find deep-dive tutorials on Azure, Python, Data Engineering, and enterprise automation—so consider subscribing if you want more advanced content like this. What You Will Learn in This Video • How Azure Analysis Services REST API works How to authenticate using Client ID, Tenant ID, and Secret How to generate tokens using MSAL How to call AAS REST endpoints from Python How to run model refreshes directly from Jupyter Notebook How to monitor refresh status programmatically Best practices for production-grade automation Technologies Covered • Azure Analysis Services (AAS) Python Jupyter Notebook REST API MSAL Authentication Azure AD App Registration Who Should Watch This? Data Engineers BI Developers Azure Architects Power BI / AAS Administrators Anyone interested in cloud automation