# @awseventschannel on YouTube

- **Type:** Video
- **Original URL:** https://youtube.com/watch?v=e1ypMWSHgsM
- **Gondola URL:** https://gondola.cc/posts/80050641-awseventschannel-youtube
- **Thumbnail:** https://img.gondola.cc/tr:w-,h-,fo-auto/postThumbnails/f69c723443.jpg
- **Posted:** 2025-03-24T15:08:00.000+00:00
- **Account Owner:** AWS Events (@awseventschannel) — https://gondola.cc/awseventschannel

## Caption

Explore Amazon S3 Tables, why we built it, and how it simplifies managing tabular data at scale. With built-in Apache Iceberg support, S3 Tables make it easy to store and query tabular data with popular query engines including Amazon Athena, Redshift, EMR, and Apache Spark. We will examine how S3 Tables improve your data lake performance, provide simpler security controls, and automatically manage costs as you scale. The segment will dive into the architecture of S3 Tables that fundamentally enhances performance for data lake workloads. You will also learn about recent developments and their practical applications in your data lake architecture.

Check out the Amazon S3 Tables website awsonair.net/S3 

Follow AWS OnAir on 
 * LinkedIn https://awsonair.net/LinkedInAWSOnAir
 * Twitch https://awsonair.net/subscribe

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 #AmazonS3 #S3Tables #AWSStorage #Iceberg #DataLake #Analytics

## Stats

- **Views:** 4,661
- **Likes:** 27
- **Shares:** 0
- **Comments:** 5

## Credits

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

## Tags

awsstorage, aws, analytics, amazons3, s3tables, datalake, iceberg

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