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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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Transforming data by using ADF

We have already seen a few examples of ADF in the previous chapters. Just to refresh, search for Azure Data Factory from the Azure portal and create a new Azure data factory. Once created, you can launch the Azure data factory, as shown in the following screenshot:

Figure 8.1 – Launching the Azure data factory

This will open up the ADF workspace where you can build your pipelines, as shown in the following screenshot:

Figure 8.2 – ADF Studio

All ADF transformations happen on datasets. So, before we can do any transformation, we will have to create datasets of the source data. You can click on the + symbol to create a new dataset, as shown in the following screenshot:

Figure 8.3 – Creating a new dataset in ADF

ADF provides a wide range of Azure and non-Azure data sources, as shown in the following screenshot.

Figure 8.4 – Dataset...

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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