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Align your data strategy to a go-forward architecture, with considerations for existing technology investments, governance and autonomous management built in. Look to AI to help automate tasks such as data onboarding, dataclassification, organization and tagging.
The platform can be quickly deployed to start, but you will want to plan for the future so it’s scalable and performant as the data culture matures. A database storage layer is a central repository for the data, while computing is in another layer. Data democratization is the crux of self-service analytics.
Through this unified query capability, you can create comprehensive insights into customer transaction patterns and purchase behavior for active products without the traditional barriers of datasilos or the need to copy data between systems. You will see a new database dev@ in the managed Amazon Redshift Serverless workgroup.
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