Adapting to change with data patterns on AWS: The “aggregate” cloud data pattern
Storage Blog
The article discusses the "Aggregate" cloud data pattern, which involves storing diverse data sources in Amazon S3 to enable broad data access and innovation.
- Key characteristics of the Aggregate pattern include:
- Centralizing data from multiple sources like sensors, logs, databases
- Enabling flexible data access across organizations
- Providing choice in tools and integrations
- Amazon S3 now hosts over 400 trillion objects and supports thousands of customers storing petabytes of data
- Successful implementation requires data standardization, such as:
- Consistent file formats like Apache Parquet
- Standardized data pipelines
- Federated data ownership
- Companies like Netflix, Pinterest, and Roche have successfully implemented this pattern
The Aggregate pattern is evolving, with more customers now exploring the "Curate" data pattern for AI and analytics.
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