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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 T-SQL

T-SQL is a procedural language that is used by both dedicated and serverless SQL pools in Synapse. Similar to the transformations that we have seen in Spark, T-SQL also provides a rich set of transformations. Let's look at some of the important ones here:

  • SELECT—To select data from a subset of columns, as follows:
    [firstName], [lastName] from dbo.Driver WHERE [city] = 'New York';
  • ORDER BY—To sort rows by a particular column, as follows:
    SELECT [firstName], [lastName] from dbo.Driver ORDER BY [firstName];
  • DISTINCT—To select unique rows from the input, as follows:
    SELECT DISTINCT [firstName], [lastName] from dbo.Driver;
  • GROUP BY—To group rows by columns so that aggregate operations can be performed on them, as follows:
    SELECT [gender], AVG([salary]) AS 'AVG salary' from dbo.Driver GROUP BY [gender];
  • UNION—To combine rows from two tables containing the same schema, as follows...
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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