Azure Data Preparation DataOps 
Becoming Human
MAY 11, 2023
It covers everything from data preparation and model training to deployment, monitoring, and maintenance. The MLOps process can be broken down into four main stages: Data Preparation: This involves collecting and cleaning data to ensure it is ready for analysis.
IBM Journey to AI blog
AUGUST 12, 2024
MLOps prioritizes end-to-end management of machine learning models, encompassing data preparation, model training, hyperparameter tuning and validation. It uses CI/CD pipelines to automate predictive maintenance and model deployment processes, and focuses on updating and retraining models as new data becomes available.
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