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DevOps implementations

Your engineering organization is growing, and now you have Data Engineers, Machine Learning Engineers, and Software Developers. You want all of the teams to work closely and collaboratively. Also, you want your teams to use the MVP approach (building the basic functionality first, adding functionality later). Which of the below methodologies should you employ?

devops is a combination of quality assurance, software development, and IT Operations. DataOps is composed of Data Quality, Data Engineering, and Data Integration. MLOps contains ML Model training, Machine Learning, and Model Maintenance.

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