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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.
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Implementing a dimensional hierarchy

As we have already explored dimensional hierarchy in Chapter 4, Designing the Serving Layer under the Designing a dimensional hierarchy section we will not be repeating it here. Please have a look at Chapter 4 to refresh your understanding of dimensional hierarchy.

Let's next look at the techniques available for reading and writing data in Parquet files.

Delivering data in Parquet files

In this section, we will learn to deliver data that is present in Parquet files via both Synapse SQL and Spark. We will use the concept of external tables that we learned in the previous chapter to accomplish this.

Let's consider an example where we have the trips data stored as Parquet files. We will use Synapse SQL serverless pools and Spark to access the data and run some sample queries on it.

Synapse SQL serverless

Let's create an external table from within the Synapse SQL query editor that points to the Parquet files on the Azure...

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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