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/

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