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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

Loading data to Azure Synapse Analytics using Azure Data Factory

In this recipe, we will look further at how to load data into Azure Synapse Analytics using Azure Data Factory.

Getting ready

Before we start, please ensure that you have created a linked service to a Blob storage container and know how to create a Copy Data statement in Azure Data Factory. Please refer to Chapter 2, Orchestration and Control Flow, for guidelines on how to do that.

How to do it…

To load data into Azure Synapse Analytics using Azure Data Factory, use the following steps:

  1. Before we create a Copy Data statement in Azure Data Factory, we need to create a new table in Azure Synapse Analytics:
    CREATE TABLE [dbo].[Planes]
    ([Name] varchar(100) NOT NULL,
    [IATA_code] varchar(10) NULL,
    [ICAO_code] varchar(10) NULL)
  2. Open Azure Data Factory and launch the Copy data tool (as seen in the following screenshot), then select the linked service to Azure Blob storage or create a new one (refer...
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