Remove 2012 Remove Data Preparation Remove Data Warehouse
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Build ML features at scale with Amazon SageMaker Feature Store using data from Amazon Redshift

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Amazon Redshift is the most popular cloud data warehouse that is used by tens of thousands of customers to analyze exabytes of data every day. After you finish data preparation, you can use SageMaker Data Wrangler to export features to SageMaker Feature Store.

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Explore data with ease: Use SQL and Text-to-SQL in Amazon SageMaker Studio JupyterLab notebooks

AWS Machine Learning Blog

Create an Amazon Redshift connection Amazon Redshift is a fully managed, petabyte-scale data warehouse service that simplifies and reduces the cost of analyzing all your data using standard SQL. He is focused on building interactive ML solutions which simplify data processing and data preparation journeys.

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Import data from Google Cloud Platform BigQuery for no-code machine learning with Amazon SageMaker Canvas

AWS Machine Learning Blog

This minimizes the complexity and overhead associated with moving data between cloud environments, enabling organizations to access and utilize their disparate data assets for ML projects. You can use SageMaker Canvas to build the initial data preparation routine and generate accurate predictions without writing code.