Data Drift Definition DevOps 
AWS Machine Learning Blog
FEBRUARY 27, 2024
The SageMaker project template includes seed code corresponding to each step of the build and deploy pipelines (we discuss these steps in more detail later in this post) as well as the pipeline definition—the recipe for how the steps should be run. Pavel Maslov is a Senior DevOps and ML engineer in the Analytic Platforms team.
ODSC - Open Data Science
JULY 19, 2023
Definition of project team users, their roles, and access controls to other resources. Security: We have included steps and best practices from GitHub’s advanced security scanning and credential scanning (also available in Azure DevOps) that can be incorporated into the workflow. is modified to push the data into ADX.
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AWS Machine Learning Blog
NOVEMBER 9, 2023
Building out a machine learning operations (MLOps) platform in the rapidly evolving landscape of artificial intelligence (AI) and machine learning (ML) for organizations is essential for seamlessly bridging the gap between data science experimentation and deployment while meeting the requirements around model performance, security, and compliance.
The MLOps Blog
AUGUST 3, 2023
And then, we’re trying to boot out features of the platform and the open-source to be able to take Hamilton data flow definitions and help you auto-generate the Airflow tasks. To a junior data scientist, it doesn’t matter if you’re using Airflow, Prefect , Dexter. I term it as a feature definition store.
The MLOps Blog
MARCH 28, 2023
The DevOps and Automation Ops departments are under the infrastructure team. They also need to monitor and see changes in the data distribution ( data drift, concept drift , etc.) Each time they modify the code, the definition of the pipeline changes. On top of the teams, they also have departments.
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