This ebook outlines six essential capabilities organizations should evaluate when selecting a data preparation solution for AWS. It explains why traditional ETL tools fall short for cloud-scale analytics and machine learning. Key criteria include native AWS integration, self-service capabilities with governance, support for diverse data types, scalable data quality controls, and centralized orchestration. The guide emphasizes empowering analysts, data scientists, and engineers to collaborate efficiently while maintaining security and compliance. It concludes that a modern, cloud-native data preparation solution is critical for maximizing analytics ROI on AWS and enabling faster, more reliable insights.

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