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Over the past few decades, the corporate data landscape has changed significantly. The shift from on-premise databases and spreadsheets to the modern era of clouddatawarehouses and AI/ LLMs has transformed what businesses can do with data. Data modeling, data cleanup, etc.
Amazon Redshift is a fully managed, fast, secure, and scalable clouddatawarehouse. Organizations often want to use SageMaker Studio to get predictions from data stored in a datawarehouse such as Amazon Redshift.
which play a crucial role in building end-to-end data pipelines, to be included in your CI/CD pipelines. These objects include integration objects, tables, stages, pipes, tasks, streams, stored procedures, and more.
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