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Bridging Development and Data Practices
This chapter explores the evolving relationship between software development and data management, emphasizing the necessity for synchronization between agile development teams and data practices. It highlights historical challenges in adopting modern methodologies within data management, such as automated testing and version control, while addressing the cultural and technical barriers that hinder progress. The discussion also examines emerging data architectures, such as data lakes and NoSQL technologies, and underlines the importance of effective collaboration and communication in enhancing both development and data efficiency.