Petabyte-scale data migration made simple: AppsFlyer’s best practice journey with Amazon EMR Serverless
Big Data Blog
This article discusses AppsFlyer's comprehensive migration from self-managed Hadoop clusters to Amazon EMR Serverless, detailing their strategic approach to modernizing their petabyte-scale data infrastructure. The migration aimed to reduce operational overhead, improve scalability, and enhance team productivity.
- Key Migration Challenges:
- Managing 100 PB of daily data across nearly 100 Hadoop clusters
- Reducing manual cluster management and infrastructure complexity
- Enabling seamless cross-team migration with minimal disruption
- Strategic Approaches:
- Developed centralized migration guides and support channels
- Created infrastructure-as-code templates for easy adoption
- Built custom Airflow operators for EMR Serverless
- Implemented robust cross-account permission management
- Major Benefits Achieved:
- Reduced operational overhead
- Improved resource scaling and cost efficiency
- Enhanced team autonomy and innovation
- Simplified data pipeline management
The migration demonstrates how a well-planned approach can transform an organization's data infrastructure, enabling more agile and cost-effective data processing.
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