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Set up Amazon Aurora zero-ETL integration with Amazon Redshift | Amazon Web Services

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In this video, you’ll see how to set up an Amazon Aurora Zero-ETL integration with Amazon Redshift that includes data filtering.
With this integration, you get an easy and reliable solution for running near real-time analytics and machine learning on petabytes of transactional data, with no complex ETL (extract, transform, and load) infrastructure to maintain.
You can also define the replication scope using data filtering. This might save costs when performing analytics on fewer tables and makes it possible to exclude tables with sensitive personal information.
For more information on this topic, please visit the resource(s) below:
Next steps:
Do you have technical AWS questions?
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—use AWS to be more agile, lower costs, and innovate faster.
#AWS #AmazonWebServices #CloudComputing #zeroETL #AmazonAurora #AmazonRedshift #dataintegration #datamovement #ETL
With this integration, you get an easy and reliable solution for running near real-time analytics and machine learning on petabytes of transactional data, with no complex ETL (extract, transform, and load) infrastructure to maintain.
You can also define the replication scope using data filtering. This might save costs when performing analytics on fewer tables and makes it possible to exclude tables with sensitive personal information.
For more information on this topic, please visit the resource(s) below:
Next steps:
Do you have technical AWS questions?
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—use AWS to be more agile, lower costs, and innovate faster.
#AWS #AmazonWebServices #CloudComputing #zeroETL #AmazonAurora #AmazonRedshift #dataintegration #datamovement #ETL