Architecting Data and Machine Learning Platforms

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Description

Architecting Data and Machine Learning PlatformsAll cloud architects need to know how to build data platforms that enable businesses to make data driven decisions and deliver enterprise wide 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

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Start the planning process considering the key data project types Use guidelines to evaluate and select data management solutions Reduce risk related to technology

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Learn : Learn how to compute and visualize marketing KPIs in Python and R Master what drives successful marketing campaigns with data science Use machine learning to predict customer engagement and lifetime value Make product recommendations that customers are most likely to buy Learn how to use A/B testing for better marketing decision making Implement machine learning to understand different customer segments About :Regardless of company size

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