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You're reading from  Azure Data Engineer Associate Certification Guide

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Published inFeb 2022
PublisherPackt
ISBN-139781801816069
Edition1st Edition
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Newton Alex
Newton Alex
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Newton Alex

Newton Alex leads several Azure Data Analytics teams in Microsoft, India. His team contributes to technologies including Azure Synapse, Azure Databricks, Azure HDInsight, and many open source technologies, including Apache YARN, Apache Spark, and Apache Hive. He started using Hadoop while at Yahoo, USA, where he helped build the first batch processing pipelines for Yahoo's ad serving team. After Yahoo, he became the leader of the big data team at Pivotal Inc., USA, where he was responsible for the entire open source stack of Pivotal Inc. He later moved to Microsoft and started the Azure Data team in India. He has worked with several Fortune 500 companies to help build their data systems on Azure.
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Configuring error handling for the transformation

In all our examples of ADF pipelines till now, we have seen only success cases. ADF also provides a separate flow to handle errors and failures. In fact, ADF supports four different flows, as shown in the following screenshot:

Figure 8.29 – ADF activity flows

In case of any errors in any step of the pipeline, we can build an error-handling branch that can be used to either fix the errors or store them for future actions. The following screenshot shows one such pipeline. You will have to connect the orange line to the error-handling activity:

Figure 8.30 – Creating an error-handling pipeline

Select the Execute Pipeline activity and link the Failure flow (the orange line) from any of the other activities to it. This new Execute Pipeline activity could be a full-fledged pipeline in itself, as with the transformation pipelines that we saw earlier in the chapter, or it could...

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Azure Data Engineer Associate Certification Guide
Published in: Feb 2022Publisher: PacktISBN-13: 9781801816069

Author (1)

author image
Newton Alex

Newton Alex leads several Azure Data Analytics teams in Microsoft, India. His team contributes to technologies including Azure Synapse, Azure Databricks, Azure HDInsight, and many open source technologies, including Apache YARN, Apache Spark, and Apache Hive. He started using Hadoop while at Yahoo, USA, where he helped build the first batch processing pipelines for Yahoo's ad serving team. After Yahoo, he became the leader of the big data team at Pivotal Inc., USA, where he was responsible for the entire open source stack of Pivotal Inc. He later moved to Microsoft and started the Azure Data team in India. He has worked with several Fortune 500 companies to help build their data systems on Azure.
Read more about Newton Alex