Home icon

Optimizing data lakes with Amazon S3 Tables and Apache Spark on Amazon EKS

Containers Blog

This article discusses optimizing data lakes using Amazon S3 Tables and Apache Spark on Amazon EKS, focusing on efficient data management and processing techniques.

  • Apache Iceberg helps companies organize and efficiently manage expanding data collections
  • Amazon S3 Tables provides a fully managed table storage service with built-in Iceberg support
  • S3 Tables can deliver up to three times faster query performance and support ten times higher transactions compared to standard S3 buckets
  • The solution demonstrates how to integrate S3 Tables with Apache Spark on Amazon EKS using a step-by-step deployment process
  • Key features include table optimization, metadata management, and time travel capabilities

The article provides a comprehensive guide for data engineers and analysts looking to improve data lake performance and management using AWS services and open-source technologies.

Go to article

The AWS News Feed is currently looking for gold sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.

Related articles

Mar 4
2025
Build a data lake for streaming data with Amazon S3 Tables and Amazon Data Firehose
Jul 14
2025
Build real-time data lakes with Snowflake and Amazon S3 Tables
Dec 10
2024
Build a managed transactional data lake with Amazon S3 Tables
May 4
2026
From data lake to AI-ready analytics: Introducing new data source with S3 Tables in Amazon Quick

The AWS News Feed is currently looking for silver sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.