Extend your Data Warehouse to your Data Lake | Amazon Web Services

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Опубликовано 31 января 2022, 18:47
In this video, you'll see how to extend your data warehouse to your data lake. Using a modern data architecture, you can move data from Amazon Redshift into an Amazon Simple Storage Service (Amazon S3) data lake, where it can be used to build visualizations with Amazon QuickSight and create machine learning (ML) models with Amazon SageMaker.

Learn more at:
- go.aws/3Gq66lt
- bit.ly/3L3eavY
- go.aws/3Hvk2Mu

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ABOUT AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers — including the fastest-growing startups, largest enterprises, and leading government agencies — are using AWS to lower costs, become more agile, and innovate faster.

#AWS #AmazonWebServices #CloudComputing #ModernDataArchitecture #DataLake #Data Warehouse
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