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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.
Read more about Newton Alex

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Designing SCDs

SCDs refer to data in dimension tables that changes slowly over time and not at a regular cadence. A common example for SCDs is customer profiles—for example, an email address or the phone number of a customer doesn't change that often, and these are perfect candidates for SCD. In this section, we will look at how to design for such changes.

Services such as Azure SQL provide inbuilt support for SCD, but in data warehouses such as Synapse dedicated pools, we will have to implement them ourselves.

Here are some of the main aspects we will need to consider while designing an SCD:

  • Should we keep track of the changes? If yes, how much of the history should we maintain?
  • Or, should we just overwrite the changes and ignore the history?

Based on our requirements for maintaining the history, there are about seven ways in which we can accomplish keeping track of changes. They are named SCD1, SCD2, SCD3, and so on, up to SCD7.

Among these...

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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