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Introducing AWS Glue Data Quality for ETL Pipelines | Amazon Web Services
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AWS Glue Data Quality is a preview feature of AWS Glue that measures and monitors the data quality of Amazon Simple Storage Service (Amazon S3) data lakes and in AWS Glue extract, transform, and load (ETL) jobs. You can easily define and measure the data quality checks in AWS Glue Studio console without writing codes. In this video, we show how to create an AWS Glue job that measures and monitors the data quality of a data pipeline. Furthermore, you will also learn how to analyze data quality results in Amazon Athena and Amazon QuickSight.
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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
Subscribe:
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
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