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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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Monitoring data pipeline performance

Similar to the data movement metrics we saw in the previous section, ADF provides metrics for overall pipelines too. In the Pipeline runs page under the Monitoring tab, if you hover over the pipeline runs, a small Consumption icon appears, as shown in the following screenshot:

Figure 13.19 – Consumption icon in the Pipeline runs screen

If you click on that icon, ADF shows the pipeline consumption details. Here is a sample screen:

Figure 13.20 – Pipeline resource consumption details screen

You can also get additional metrics about each of the runs from the Gantt chart section. You can change the view from List to Gantt, as shown in the following screenshot:

Figure 13.21 – Additional pipeline details in the Gantt chart page

Note

ADF only maintains pipeline execution details and metrics for 45 days. If you need to analyze the pipeline data for more than...

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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