5 Ideas to Expand Your ETL Process Monitoring

▤ Summary

And so, while ETL issues may not result in downtime for operations, it does have an impact when data is used to make critical business decisions. These two principles can be executed in a wide variety of ways, depending on your data architecture or environment. It is worthwhile to spend some time analyzing your architecture and models and identify potential harbingers of problems. Here are some examples: If you monitor these kinds of trends over time, you can spot potential issues before they occur and proactively fix them. You can then set threshold alerts for minimum or maximum values based on historic data.

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