In this video, we walk through step-by-step how to design, build, and automate a scalable data pipeline in 𝑴𝒊𝒄𝒓𝒐𝒔𝒐𝒇𝒕 𝑭𝒂𝒃𝒓𝒊𝒄.
To make it practical, we use an 𝑰𝒏𝒅𝒊𝒂𝒏 𝑩𝒐𝒙 𝑶𝒇𝒇𝒊𝒄𝒆 𝒅𝒂𝒕𝒂𝒔𝒆𝒕 (Bollywood, Kollywood, Mollywood, Sandalwood, Tollywood) to demonstrate the full process—from data ingestion to automation
🔑 What you’ll learn in this video:
✅ Why Microsoft Fabric is perfect for data pipelines
✅ Setting up Workspaces, Lakehouse & Warehouse
✅ Creating and orchestrating Data Pipelines
✅ Using Filter, Get Metadata, and For Each activities
✅ Copying data into Warehouse tables
✅ Adding automated email notifications
✅ Monitoring & execution in Fabric
✅ Making your data analytics-ready for Power BI
💡 Key Takeaways:
-Centralized, structured data storage with Fabric Lakehouse & Warehouse
-Scalable and automation-friendly pipelines
-No manual intervention needed—fully orchestrated process
-Approach applies to retail, healthcare, finance, and more
✨ Whether you’re a Data Engineer, Power BI Developer, or Student, this video gives you a real-world end-to-end example of Fabric in action.
📌 Don’t forget to Like 👍, Share 🔄, and Subscribe 🔔 to the NDAC channel for more content on Microsoft Fabric, Power BI, and Data Engineering.
🔗𝑱𝒐𝒊𝒏 𝒖𝒔 𝒂𝒕 𝑴𝒆𝒆𝒕𝒖𝒑: https://www.meetup.com/nextgen-data-aspirants-community/
📲𝑱𝒐𝒊𝒏 𝒕𝒉𝒆 𝑾𝒉𝒂𝒕𝒔𝑨𝒑𝒑 𝑮𝒓𝒐𝒖𝒑 𝒇𝒐𝒓 𝒆𝒗𝒆𝒏𝒕 𝒖𝒑𝒅𝒂𝒕𝒆𝒔 & 𝒍𝒊𝒏𝒌: https://chat.whatsapp.com/GHBzZ7rKqylLyXTGJqyTxz
🔗 𝑨𝒍𝒔𝒐 𝒂𝒗𝒂𝒊𝒍𝒂𝒃𝒍𝒆 𝒐𝒏 𝑴𝒊𝒄𝒓𝒐𝒔𝒐𝒇𝒕 𝑻𝒆𝒂𝒎𝒔: https://teams.live.com/l/community/FEAVIPJvr_9CQiYFgw
📲𝑱𝒐𝒊𝒏 𝒕𝒉𝒆 𝑾𝒉𝒂𝒕𝒔𝑨𝒑𝒑 𝑪𝒉𝒂𝒏𝒏𝒆𝒍 𝑳𝒊𝒏𝒌: https://whatsapp.com/channel/0029VbB2EH33AzNVJEyA6L0r
watch?v=viJyBoQclNo?si=Z54KsG3wmxM8rbd7
