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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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Implementing different table geometries with Azure Synapse Analytics pools

The term table geometry is not standard database terminology, so I'm taking an educated guess that the certification team meant the different features of Azure Synapse dedicated pool tables.

The main features of Synapse dedicated pool tables are partitions, indexes, and distributions. We have already covered partitions and distributions in detail, so we will focus on the remaining feature, which is indexing.

SQL dedicated pools provide the following three types of indexing:

  • Clustered columnstore indexing
  • Heap indexing
  • Clustered indexing

Let's look at them in detail.

Clustered columnstore indexing

Clustered columnstore is the default indexing option of a dedicated SQL pool table. This type of indexing works best for large fact tables. It is a column-based data storage and provides very high levels of compression and better query performance than row-based indexes.

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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