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Azure Data Factory Cookbook

You're reading from   Azure Data Factory Cookbook Build and manage ETL and ELT pipelines with Microsoft Azure's serverless data integration service

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Product type Paperback
Published in Dec 2020
Publisher Packt
ISBN-13 9781800565296
Length 382 pages
Edition 1st Edition
Tools
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Authors (4):
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Dmitry Anoshin Dmitry Anoshin
Author Profile Icon Dmitry Anoshin
Dmitry Anoshin
Roman Storchak Roman Storchak
Author Profile Icon Roman Storchak
Roman Storchak
Xenia Ireton Xenia Ireton
Author Profile Icon Xenia Ireton
Xenia Ireton
Dmitry Foshin Dmitry Foshin
Author Profile Icon Dmitry Foshin
Dmitry Foshin
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Toc

Table of Contents (12) Chapters Close

Preface 1. Chapter 1: Getting Started with ADF 2. Chapter 2: Orchestration and Control Flow FREE CHAPTER 3. Chapter 3: Setting Up a Cloud Data Warehouse 4. Chapter 4: Working with Azure Data Lake 5. Chapter 5: Working with Big Data – HDInsight and Databricks 6. Chapter 6: Integration with MS SSIS 7. Chapter 7: Data Migration – Azure Data Factory and Other Cloud Services 8. Chapter 8: Working with Azure Services Integration 9. Chapter 9: Managing Deployment Processes with Azure DevOps 10. Chapter 10: Monitoring and Troubleshooting Data Pipelines 11. Other Books You May Enjoy

Using SQL on-demand

In this recipe, you will learn how to use SQL on-demand in an Azure Synapse workspace.

Getting ready

You need to have an Azure Synapse workspace created and the file in Parquet format kept in your Azure Synapse storage account.

How to do it…

  1. Open the Azure Synapse workspace, go to Data, and open the folder that contents the Parquet format file.
  2. Right-click on the file and choose New SQL script | Select TOP 100 rows:

    Figure 3.37 – Creating a new SQL script for a file in a storage account

    A new script is created for connecting to the file using SQL on-demand:

    Figure 3.38 – Connecting to the file from the Synapse workspace using SQL on-demand

    Note

    The query executes within several seconds; you don't need to wait several minutes for the cluster to start. You can copy this script and then paste it into SSMS.

  3. You can also use SQL on-demand to connect from SSMS or a visualization tool (such as Power BI or Tableau). For this...
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