
DataOps Part 2 : Key Principles and Practices of DataOps
DataOps enhances data processes through principles like agile development, CI/CD, and automation, improving reliability and quality. Emphasizing collaboration and data quality management fosters efficient workflows. Key practices also include monitoring, reusability, and modularity, enabling organizations to build scalable data infrastructures, accelerate insights, and align with business goals effectively.