Databricks ML in Action: Learn how Databricks supports the entire ML lifecycle end to end from data ingestion to the model deployment
by Stephanie Rivera, Anastasia Prokaieva, Amanda Baker, Hayley Horn
Databricks ML in Action teaches how the platform supports the complete machine learning lifecycle, from initial data ingestion through to seamless model deployment. Authored by experts Stephanie Rivera, Anastasia Prokaieva, Amanda Baker, and Hayley Horn, this book offers practical insights into building scalable ML workflows, integrating data processing, training, and operations for efficient, end-to-end solutions in modern data environments.
About This Book
Databricks ML in Action provides a comprehensive exploration of how Databricks supports the full machine learning lifecycle. Readers learn to handle data ingestion, processing, model training, and deployment within a unified platform.
The book emphasizes end-to-end workflows, enabling teams to integrate data engineering and ML operations seamlessly. It covers tools and best practices for scalable ML solutions in production environments.
With guidance from experienced authors, this resource helps practitioners apply Databricks features to real-world challenges, fostering efficient collaboration across data and ML teams.
Ideal for those seeking to optimize ML pipelines, the content focuses on practical implementation without requiring deep prior knowledge of the platform.
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