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#636: Amazon Aurora MySQL zero-ETL Integration with Amazon Redshift

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Manage episode 382856574 series 1527787
Content provided by Amazon Web Services. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Amazon Web Services or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
For time-strapped data teams looking to simplify analytics on large transactional data, Amazon Aurora's seamless integration with Amazon Redshift is a game-changer. Tune in to listen to chat with, Jyoti Aggarwal (Product Management lead for Amazon Redshift zero-ETL), Adam Levin (Principal Product Manager on the Amazon Aurora) for a new service called Amazon Aurora with Amazon Redshift Integration. Amazon Aurora with Amazon Redshift Integration is a capability that enables organizations to run analytics directly against their Amazon Aurora transactional data, without needing to manage complex ETL pipelines.
  continue reading

662 episodes

Artwork
iconShare
 
Manage episode 382856574 series 1527787
Content provided by Amazon Web Services. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Amazon Web Services or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
For time-strapped data teams looking to simplify analytics on large transactional data, Amazon Aurora's seamless integration with Amazon Redshift is a game-changer. Tune in to listen to chat with, Jyoti Aggarwal (Product Management lead for Amazon Redshift zero-ETL), Adam Levin (Principal Product Manager on the Amazon Aurora) for a new service called Amazon Aurora with Amazon Redshift Integration. Amazon Aurora with Amazon Redshift Integration is a capability that enables organizations to run analytics directly against their Amazon Aurora transactional data, without needing to manage complex ETL pipelines.
  continue reading

662 episodes

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