Scenario: Your organization is experiencing performance issues with its ETL pipeline, resulting in delayed data processing. As an ETL specialist, what steps would you take to diagnose and address these performance issues?
- Analyze and optimize data ingestion and loading processes.
- Implement data partitioning and sharding strategies.
- Increase hardware resources such as CPU and memory.
- Review and optimize data transformation logic and SQL queries.
To address performance issues in an ETL pipeline, reviewing and optimizing data transformation logic and SQL queries is essential. This involves identifying inefficient queries or transformations and optimizing them for better performance.
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