Home icon

Build real-time data lakes with Snowflake and Amazon S3 Tables

AWS Partner Network Blog



This article discusses how organizations can build real-time data lakes using Snowflake and Amazon S3 Tables, addressing challenges in processing large-scale streaming data efficiently.

  • Amazon S3 Tables provides built-in Apache Iceberg support with automatic maintenance tasks like compaction and file management
  • Snowflake integration enables efficient data lake management through open standards
  • Solution allows streaming data ingestion from IoT devices, system telemetry, and other sources
  • Supports near real-time analytics and machine learning use cases across industries like manufacturing
  • Provides streamlined data governance with robust security controls

The solution helps organizations transform complex data infrastructures into high-performance analytics platforms that enable faster business insights and decision-making.



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

May 29
2025
Optimizing data lakes with Amazon S3 Tables and Apache Spark on Amazon EKS
Mar 4
2025
Build a data lake for streaming data with Amazon S3 Tables and Amazon Data Firehose
Apr 8
2024
Snowflake streamlines data management and improves processing times using Amazon S3 Lifecycle
Jul 10
2025
Geospatial data lakes with Amazon Redshift

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.