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You're reading from  Azure Data Engineer Associate Certification Guide

Product typeBook
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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Validating Batch loads

Batch jobs are usually run as part of Azure Data Factory (ADF). ADF provides functionalities for validating the outcome of jobs. Let's learn how to use the Validation activity in ADF to check the correctness of Batch loads:

  1. The Validation activity of ADF can be used to check for a file's existence before proceeding with the rest of the activities in the pipeline. The validation pipeline will look similar to the following:

Figure 11.4 – ADF Validation activity

  1. Once we have validated that the files exist, we can use the Get Metadata activity to get more information about the output files. In the following screenshot, we output Column count, which we'll check later using an If Condition activity to decide if the output files are any good:

Figure 11.5 – Configuring the Get Metadata activity to publish the Column count

  1. Once we get the metadata, we must use the...
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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