Part 3/12:

• File and Log Data: From diverse sources, including system monitoring tools.

• External Data: Integrations with third-party systems like payment gateways.

Data ingestion was managed via ETL tools, predominantly HEO, combined with EVO for extracting data from OLTP and OLAP systems. Reports and analytics were run directly on Redshift, which served as the central warehouse.

Challenges with the legacy system:

• Scalability Issues: As data volume grew, Redshift's single-cluster architecture couldn't keep pace, leading to delays and stale data.

• Performance Bottlenecks: Long query times hindered near real-time reporting, especially during high load.