Combine transactional, streaming, and third-party data on Amazon Redshift for financial services
Big Data Blog
This article discusses how to combine transactional, streaming, and third-party data on Amazon Redshift for financial services use cases like trade reporting, risk management, and trade optimization.
Specifically, the article covers:
- Solution overview explaining the architecture and guiding principles
- Data ingestion using Redshift streaming ingestion, zero-ETL integration with Aurora, and AWS Data Exchange data shares
- Data processing in Redshift using ELT methodology, materialized views, and stored procedures
- Reporting using Amazon QuickSight for BI dashboards and Amazon Managed Grafana for real-time monitoring
- Sample queries and visualizations for historical quotes/trades analysis and real-time latency monitoring
- Conclusion highlighting the benefits of the solution
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