# @awseventschannel on YouTube

- **Type:** Video
- **Original URL:** https://youtube.com/watch?v=wmDSiygdBww
- **Gondola URL:** https://gondola.cc/posts/80053340-awseventschannel-youtube
- **Thumbnail:** https://img.gondola.cc/tr:w-,h-,fo-auto/postThumbnails/1a8377a251.jpg
- **Posted:** 2024-10-14T15:01:22.000+00:00
- **Account Owner:** AWS Events (@awseventschannel) — https://gondola.cc/awseventschannel

## Caption

AWS is investing in a zero-ETL future so customers can quickly and easily connect to and act on all their data across services. The Amazon RDS for MySQL zero-ETL integration with Amazon Redshift is now generally available for near real-time analytics on petabytes of transactional data. It eliminates the need for customers to build and maintain complex data pipelines.  This AWS on Air episode dives into the integration, provides demos on how to get started and on how to apply data filtering for each integration to include or exclude specific databases and tables, tailoring replication to your specific needs. 
Learn more at https://awsonair.net/3ZT9jHO 

Follow AWS OnAir: 
LinkedIn: https://bit.ly/AWSOnAir-LinkedIn 
Twitch: https://bit.ly/Twitch-AWS-OnAir 

ABOUT AWS
Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. 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 #zeroETL #datapipeline #ETLpipeline #ETLprocess #ETLtools #AmazonRDS, #AmazonRedshift #gigiboehringer #kyledickenson

## Stats

- **Views:** 457
- **Likes:** 10
- **Shares:** 0
- **Comments:** 3

## Credits

No public credits are recorded here. This does not identify who made the post.

## Tags

datapipeline, amazonredshift, zeroetl, gigiboehringer, etlprocess, aws, kyledickenson, etltools, amazonrds, etlpipeline

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