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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.
Read more about Newton Alex

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Designing a partition strategy for Azure Synapse Analytics

We learned about Azure Synapse Analytics in Chapter 2, Designing a Data Storage Structure. Synapse Analytics contains two compute engines, outlined here:

  • A Structured Query Language (SQL) pool that consists of serverless and dedicated SQL pools (previously known as SQL Data Warehouse)
  • A Spark pool that consists of Synapse Spark pools

But when people refer to Azure Synapse Analytics, they usually refer to the Dedicated SQL pool option. In this section, we will look at the partition strategy available for Synapse Dedicated SQL pool.

Note

We have already briefly covered partitioning in Spark as part of the Data pruning section in the previous chapter. The same concepts apply to Synapse Spark, too.

Before we explore partitioning options, let's recap the data distribution techniques of a Synapse dedicated pool from the previous chapter as this will play an important role in our partition strategy...

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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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