How to create views and query them from Amazon Athena and Amazon Redshift | Amazon Web Services
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Опубликовано 5 марта 2024, 20:23
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With AWS Glue Data Catalog views, you can create a single view object that can be queried from multiple analytics engines without data consumers having access to base tables of the view. This demo video shows how to create views and query them from two popular SQL engines--Amazon Athena and Amazon Redshift.
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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
AWS: go.aws/home
With AWS Glue Data Catalog views, you can create a single view object that can be queried from multiple analytics engines without data consumers having access to base tables of the view. This demo video shows how to create views and query them from two popular SQL engines--Amazon Athena and Amazon Redshift.
Subscribe:
More AWS videos: go.aws/3m5yEMW
More AWS events videos: go.aws/3ZHq4BK
Do you have technical AWS questions?
Ask the community of experts on AWS re:Post: go.aws/3lPaoPb
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