Scenario: You are tasked with optimizing an ETL process that involves extracting data from multiple sources and transforming it before loading it into a data warehouse. What approach would you take to identify and prioritize optimization opportunities?
- Analyze query performance and database indexes.
- Implement parallel processing and distributed computing techniques.
- Profile and monitor system resource utilization to identify bottlenecks.
- Utilize caching mechanisms and in-memory computing.
When optimizing an ETL process, profiling and monitoring system resource utilization is crucial to identify performance bottlenecks. This involves analyzing CPU, memory, disk I/O, and network usage to prioritize optimization efforts.
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