Architecting Data and Machine Learning Platforms: Enable Analytics and AI-Driven Innovation in the Cloud
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All cloud architects need to know how to build data platforms that enable businesses to make datadriven decisions and deliver enterprisewide intelligence in a fast and efficient way. 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.
Authors Marco Tranquillin, Valliappa Lakshmanan, and Firat Tekiner cover the entire data lifecycle from ingestion to...






















