August 2021
Beginner to intermediate
611 pages
11h 10m
English
In Chapter 8, I discussed a variety of methods for capturing Azure Data Factory pipeline logs and persisting the data either to a SQL table or within Azure Data Lake Storage Gen2. While this process of capturing pipeline log data is valuable when the pipeline activities succeed, this chapter will cover how to capture and persist Azure Data Factory pipeline errors to a SQL table within the ADF_DB that was created in previous chapters. Additionally, we will recap the pipeline ...
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