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A new data-centric approach to building robust MLOps practices


        A NEW DATA-CENTRIC APPROACH TO BUILDING ROBUST                         
                     MLOPS PRACTICES





Discover the fastest path to get machine learning models to production. The Big
Book of MLOps will show you how data engineers, data scientists, and machine
learning engineers can build and collaborate on a common platform, using
powerful and open frameworks such as Delta Lake for data pipelines, MLflow for
model management and Databricks Workflows for automation.



In this eBook, you’ll learn:

 * The essential components of an MLOps reference architecture
 * The key stakeholders to involve as you build and deploy machine learning
   applications
 * How to leverage the same platform for data and models and get to production
   faster
 * How to monitor data and models through the complete ML lifecycle with
   end-to-end lineage
 * Best practices to guide your MLOps planning and decision-making

Get the eBook



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