A Comprehensive Guide to Building a Data Product Framework on the Azure Platform

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In today’s data-driven landscape, enterprises often face fragmented data ecosystems that hinder decision-making and innovation. Adopting a data product mindset can help organizations overcome these challenges by treating data as a reusable, governed, and high-value asset. A data product framework ensures improved data accessibility, governance, and scalability, empowering enterprises to make informed decisions and accelerate digital transformation.  This whitepaper outlines a comprehensive framework for building scalable, governed, and reusable data products using the Azure platform. The focus areas include:  
  • Reusable and Scalable Metadata-Driven Ingestion Framework 
  • Plug-n-Play Data Quality Management Framework 
  • Data Harmonization Framework (with Domain-Oriented Data Models) 
  • Data Governance and Discoverability Framework 
  • Data Sharing and Self-Serve Analytics Framework 

Gain actionable insights from our collaboration with a leading business enterprise to develop a Customer 360 Platform in the Azure platform to unify customer data across multiple touch points, enable real-time segmentation, enhance data governance, and more.  

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