Organizations moving towards a data-driven culture embrace the use of data and machine learning (ML) in decision-making. To make ML-based decisions from data, you need your data available, accessible, clean, and in the right format to train ML models. Organizations with a multi-account architecture want to avoid situations where they must extract data from one account and load it into another for data preparation activities. Manually building and maintaining the different extract, transform, and load (ETL) jobs in different accounts adds complexity and cost, and makes it more difficult to maintain the governance, compliance, and security best practices to keep your data safe.
Amazon Redshift is a fast, fully managed cloud data warehouse. The Amazon Redshift cross-account data sharing feature provides a simple and secure way to share fresh, complete, and consistent data in your Amazon Redshift data warehouse with any number of stakeholders in different AWS accounts. Amazon SageMaker

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