Data architecture is very important in building a modern data platform. It serves as the blueprint for how data will be organized, stored, processed, and accessed within the platform. Some key aspects highlighting the importance of data architecture are Data Integration, Data Storage, Data Modeling, Data Processing, Scalability and Performance, Data Governance and Security, Metadata Management and many other key data services.
It is fundamental to building a modern data platform that is scalable, performant, secure, and compliant. It provides the foundation for integrating, storing, processing, and managing data effectively to derive insights and drive value for the organization.
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