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You're reading from  Azure Data Engineer Associate Certification Guide

Product typeBook
Published inFeb 2022
PublisherPackt
ISBN-139781801816069
Edition1st Edition
Tools
Azure
Concepts
Big Data
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Author (1)
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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Scheduling and monitoring pipeline tests

In Chapter 11, Managing Batches and Pipelines, we briefly introduced Azure DevOps for version control. Azure DevOps provides another feature called Azure Pipelines, which can be used to create CI/CD pipelines to deploy ADF. If you are not aware of CI/CD, it is a method of continuously testing and deploying applications to the production environment in an automated manner. In this section, we will look into how to create, schedule, and monitor a CI/CD pipeline.

Note

As of writing this book, Azure DevOps Pipelines support for Synapse Pipelines was not available. It is only available for ADF.

Here are the high-level steps to create a CI/CD pipeline using Azure pipelines:

  1. Select Azure DevOps from the Azure portal. On the Azure DevOps page, select Releases under Pipelines and click the New Pipeline button. This will take you to a new screen, shown in the following screenshot. Choose the Empty job option:
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Azure Data Engineer Associate Certification Guide
Published in: Feb 2022Publisher: PacktISBN-13: 9781801816069
© 2022 Packt Publishing Limited All Rights Reserved

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

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