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Amazon offers a wealth of data lake, data warehouse, and database architectures for organizations looking to deploy projects like analytics or AI in the cloud—so much so that it can be overwhelming as you consider your data repository options.
This expert guide will help you break down some of the more popular data warehouse and lake architectures and determine how one compares to a data lake when it comes to your particular use case.
Read on to discover how options like Lake Formation and Redshift differ, compare, and even work together across multiple scenarios, including complex data indigestion and high-volume analytic workloads.