Serverless ETL and Analytics with AWS Glue
by Vishal Pathak, Subramanya Vajiraya, Noritaka Sekiyama, Tomohiro Tanaka, Albert Quiroga, Ishan Gaur
Chapter 11: Monitoring
In the previous chapter, you learned how to build and manage your data pipeline with AWS Glue in detail. With that knowledge, you are now able to build a data platform powered by AWS Glue. Cool! 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 If your data platform gives outdated results, the decisions made based on the data will also be outdated.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 ...
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