22. Token-Based REST API Ingestion to ADLS Gen2 Using Azure Data Factory (ADF)

In this video, you will learn how to ingest data from a token-based REST API into Azure Data Lake Storage Gen2 using Azure Data Factory (ADF). This session demonstrates a real-time industry scenario where a Bearer Token is generated dynamically using Web Activity and passed securely to a REST API in Copy Activity. Topics covered in this video: Token-based REST API authentication What is Bearer Token and how it works Generate Bearer Token using Web Activity Pass token dynamically in Copy Activity header Call secured REST API using ADF Store REST API response into ADLS Gen2 ADF Web Activity + Copy Activity pattern Real-time token-based API ingestion architecture Common errors and fixes Azure Data Factory interview concepts Architecture covered: ADF Pipeline Web Activity (Authentication API) Copy Activity (REST Source) ADLS Gen2 (Sink) Dynamic Authorization header Token reuse inside pipeline Real-time use cases: Banking APIs E-commerce systems Payment gateways CRM platforms Enterprise secured APIs Best practices: Always generate token dynamically Never hardcode tokens Store raw data in ADLS Gen2 (Bronze layer) Use secure output for sensitive data -------------------------------------------------- 📺 Azure Data Factory Beginner Playlist: -------------------------------------------------- Azure Data Factory – Beginner (From Scratch) -------------------------------------------------- 🔗 Join Our Learning Community: -------------------------------------------------- Telegram Group: https://t.me/+PGnxzlaFpvo1MWJl WhatsApp Group: https://chat.whatsapp.com/Gow6Qxi77FN... -------------------------------------------------- 🎓 Cloudpandith Training Institute – Azure Data Engineering -------------------------------------------------- Website: https://www.cloudpandith.com WhatsApp: https://wa.me/918904424822 -------------------------------------------------- Next Video: -------------------------------------------------- Copy Data from Paginated REST API in Azure Data Factory Like, Comment, and Subscribe for more Azure Data Factory tutorials.