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Evolution of Data Architectures to Data Meshes
The chapter explores the transition of data architectures from data warehousing to data lakes and the more recent concept of data mesh, a decentralized approach to managing data for ML and analytical purposes. It highlights the significance of standardizing interfaces between autonomous teams to ensure collaboration and interconnectedness across various business functions. The discussion includes challenges faced with distributed data architectures like data meshes, emphasizing the importance of privacy, security, and fine-grained access controls within organizations.