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Architecting Data and Machine Learning Platforms

Marco Tranquillin, Valliappa Lakshmanan, and Firat Tekiner

This handbook shows you how to design, build, and modernize cloud native data and machine learning platforms using AWS, Azure, Google Cloud, and multicloud tools like Snowflake and Databricks.

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Architecting Data and Machine Learning Platforms: Enable Analytics and AI-Driven Innovation in the Cloud

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Architecting Data and Machine Learning Platforms

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Length: 361 pages

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