Build a data lake for streaming data with Amazon S3 Tables and Amazon Data Firehose
Storage Blog
This article discusses how to build a data lake for streaming data using Amazon S3 Tables and Amazon Data Firehose, highlighting a modern approach to real-time data processing and storage.
- Uses Apache Iceberg for organizing streaming data with database-like features
- Leverages Amazon S3 Tables for purpose-built storage and query performance
- Integrates with AWS analytics services like Glue Data Catalog and Lake Formation
- Provides a step-by-step walkthrough for creating a fully managed data lake
- Enables businesses to capture, store, and analyze streaming data automatically
The solution demonstrates how businesses can streamline data ingestion and analysis without managing complex infrastructure, supporting real-time decision-making across industries.
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