Serverless ETL and Analytics with AWS Glue - Second Edition
by Noritaka Sekiyama, Albert Quiroga, Tomohiro Tanaka, Subramanya Vajiraya, Akira Ajisaka, Ishan Gaur
11
Monitoring
In the previous chapter, you learned how to build and manage your data pipeline with AWS Glue. With that knowledge, you can now build a data platform powered by AWS Glue. But this is not the end of your work with the data platform. It is just the starting point.
Imagine that you have built your data platform using AWS Glue. If your data platform does not meet the predefined business requirements, end users will be confused and won’t be able to make a reasonable decision based on the data. If your data platform gives outdated results, the decisions made based on the data will also be outdated. If your data platform is too slow, end users won’t be able to make timely decisions and could lose business opportunities. If your data platform ...
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