Preface
Many IT leaders and professionals know how to get data in a particular type of database and derive value from it. But when it comes to creating an enterprise-wide holistic data platform with purpose-built data services, all seamlessly working in tandem with the least amount of manual intervention, it is always challenging to design and implement such a platform.
This book covers end-to-end solutions of many of the common data, analytics and AI/ML use-cases that organizations want to solve using AWS services. The book systematically lays out all the building blocks of a modern data platform including data lake, data warehouse, data ingestion patterns, data consumption patterns, data governance and AI/ML patterns. Using real world use-cases, ...
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