This eBook presents five key data preparation lessons learned from enabling self-service analytics on Google Cloud. It explains why lift-and-shift approaches fail and emphasizes cloud-native design, governance, and collaboration. The guide shows how self-service analytics empowers analysts, engineers, and business users to work with data directly while maintaining control and compliance. It highlights lessons around reducing silos, tracking data lineage, balancing governance with flexibility, and redefining roles. The eBook positions self-service analytics as a critical capability for scaling cloud analytics and accelerating insight delivery.

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