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Azure Data Engineering Cookbook

You're reading from   Azure Data Engineering Cookbook Design and implement batch and streaming analytics using Azure Cloud Services

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Product type Paperback
Published in Apr 2021
Publisher Packt
ISBN-13 9781800206557
Length 454 pages
Edition 1st Edition
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Authors (2):
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Nagaraj Venkatesan Nagaraj Venkatesan
Author Profile Icon Nagaraj Venkatesan
Nagaraj Venkatesan
Ahmad Osama Ahmad Osama
Author Profile Icon Ahmad Osama
Ahmad Osama
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Toc

Table of Contents (11) Chapters Close

Preface 1. Chapter 1: Working with Azure Blob Storage 2. Chapter 2: Working with Relational Databases in Azure FREE CHAPTER 3. Chapter 3: Analyzing Data with Azure Synapse Analytics 4. Chapter 4: Control Flow Activities in Azure Data Factory 5. Chapter 5: Control Flow Transformation and the Copy Data Activity in Azure Data Factory 6. Chapter 6: Data Flows in Azure Data Factory 7. Chapter 7: Azure Data Factory Integration Runtime 8. Chapter 8: Deploying Azure Data Factory Pipelines 9. Chapter 9: Batch and Streaming Data Processing with Azure Databricks 10. Other Books You May Enjoy

Loading data into a SQL pool using the COPY INTO statement

The COPY INTO statement provides a faster and easier way to bulk insert data from Azure storage. We can use one T-SQL COPY INTO statement to ingest data instead of creating multiple database objects. At the time of writing this book, the COPY INTO statement is in preview.

In this recipe, we'll use the COPY INTO statement to load data into an Azure Synapse SQL pool.

Getting ready

Before you start, log in to Azure from PowerShell. To do this, execute the following command and follow the instructions to log in to Azure:

Connect-AzAccount

You need a Synapse SQL pool to perform the steps in the recipe. If you don't have an existing Synapse SQL pool, you can create one using the steps from the Provisioning and connecting to an Azure Synapse SQL pool using PowerShell recipe.

How to do it…

Follow the given steps to import data into a Synapse SQL pool from Azure Data Lake Storage Gen2:

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