Prototyping and Deploying a data warehouse in Fabric using only metadata
Prototyping and deploying a data warehouse in Microsoft Fabric using only metadata enables rapid and automated development without manual coding. Instead of building tables, dataflows, and pipelines manually, you define the structure, relationships, and transformation logic as metadata. Microsoft Fabric reads this metadata to automatically generate the necessary data warehouse components, ensuring consistency and reducing errors. This approach allows for easy iteration, version control, and quick adaptation to business changes by simply updating the metadata. As a result, it accelerates delivery, simplifies maintenance, and provides a scalable, low-code solution for data warehousing. Speaker : Gustavo Leo Specialized in Power BI, Data Modeling, and Data Warehousing, offering over 10 years of experience in the industry Organizers: Rajendra Ongole, Navya, Koundinya Lanka,Shashi 🔗𝑹𝒆𝒈𝒊𝒔𝒕𝒆𝒓 𝒂𝒕 𝑴𝒆𝒆𝒕𝒖𝒑: https://www.meetup.com/dataanalyticgroup/ 📲𝑱𝒐𝒊𝒏 𝒕𝒉𝒆 𝑾𝒉𝒂𝒕𝒔𝑨𝒑𝒑 𝑮𝒓𝒐𝒖𝒑: https://chat.whatsapp.com/CkMRYzyoKSNKbXUs2IN2MU 📲𝑱𝒐𝒊𝒏 𝒕𝒉𝒆 𝑾𝒉𝒂𝒕𝒔𝑨𝒑𝒑 𝑪𝒉𝒂𝒏𝒏𝒆𝒍 𝑳𝒊𝒏𝒌:https://whatsapp.com/channel/0029VaBgfAwDOQIeuTjGbF3u 📲YouTube channel: https://www.youtube.com/@Dataanalyticgroup 🌐 𝑱𝒐𝒊𝒏 𝒖𝒔 𝒐𝒏 𝑭𝒂𝒃𝒓𝒊𝒄 𝑪𝒐𝒎𝒎𝒖𝒏𝒊𝒕𝒚 : https://community.fabric.microsoft.com/t5/Data-Analytic-Group/gh-p/DataAnalyticGroup 🔗 𝑨𝒍𝒔𝒐 𝒂𝒗𝒂𝒊𝒍𝒂𝒃𝒍𝒆 𝒐𝒏 Discord: https://discord.gg/CGvZ2Nu9
