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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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Creating data pipelines

Data pipelines are a collection of various data processing activities arranged in a particular sequence to produce the desired insights from raw data. We have already seen many examples in Azure Data Factory where we chain the activities together to produce a final desirable outcome. ADF is not the only technology available in Azure. Azure also supports Synapse pipelines (which is an implementation of ADF within Synapse) and open source technologies such as Oozie (available via Azure HDInsight), which can help orchestrate pipelines. If your workload only uses open source software, then Oozie could fit the bill. But if the pipeline uses other Azure or external third-party services then ADF might be a better fit as ADF provides readily available source and sink plugins for a huge list of technologies.

You can create a pipeline from the Pipeline tab of Azure Data Factory. All you need to do is to select the activities for your pipeline from the Activities tab...

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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