© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2021
R. C. L'EsteveThe Definitive Guide to Azure Data Engineeringhttps://doi.org/10.1007/978-1-4842-7182-7_8

8. Build Custom Logs in SQL Database for Pipeline Activity Metrics

Ron C. L’Esteve1  
(1)
Chicago, IL, USA
 

In the previous chapters, I demonstrated how to load data from ADLS Gen2 and then into a Synapse Analytics dedicated SQL pool using Data Factory. In this chapter, I will demonstrate how to leverage the pipelines that have been built to implement a process for tracking the log activity for pipelines that run and persist the data.

Azure Data Factory is a robust cloud-based ELT tool that is capable of accommodating multiple scenarios for logging pipeline ...

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