Data Collection Deep Learning Experimentation Predictive Modeling 
Cloudera
FEBRUARY 16, 2022
We can think of model lineage as the specific combination of data and transformations on that data that create a model. This maps to the data collection, data engineering, model tuning and model training stages of the data science lifecycle.
Rocket-Powered Data Science
JULY 6, 2021
2) MLOps became the expected norm in machine learning and data science projects. MLOps takes the modeling, algorithms, and data wrangling out of the experimental “one off” phase and moves the best models into deployment and sustained operational phase.
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