During peak data loads, the ETL process slows down significantly. What metrics should be analyzed to identify bottlenecks?
- CPU Utilization, Disk I/O, Memory Usage, Network Bandwidth
- Data Quality Score, Data Latency, Data Duplication Rate, Data Partitioning
- Source Data Volume, Target Data Volume, ETL Tool License Usage, Data Compression Ratio
- Source-to-Target Mapping, Data Encryption Overhead, Data Archiving Efficiency, Data Masking Performance
To identify bottlenecks during peak data loads, metrics such as CPU utilization, disk I/O, memory usage, and network bandwidth should be analyzed. These metrics help pinpoint resource constraints affecting ETL performance.
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