You're reading from Azure Data Engineering Cookbook Get well versed in various data engineering techniques in Azure using this recipe-based guide

Product type Paperback

Published in Sep 2022

Publisher Packt

ISBN-13 9781803246789

Length 608 pages

Edition 2nd Edition

Languages

SQL

Tools

Azure

Concepts

Data Engineering

Authors (3):

Ahmad Osama

Nagaraj Venkatesan

Luca Zanna

View More author details

Table of Contents (16) Chapters

Preface

1. Chapter 1: Creating and Managing Data in Azure Data Lake

2. Chapter 2: Securing and Monitoring Data in Azure Data Lake FREE CHAPTER

3. Chapter 3: Building Data Ingestion Pipelines Using Azure Data Factory

4. Chapter 4: Azure Data Factory Integration Runtime

5. Chapter 5: Configuring and Securing Azure SQL Database

6. Chapter 6: Implementing High Availability and Monitoring in Azure SQL Database

7. Chapter 7: Processing Data Using Azure Databricks

8. Chapter 8: Processing Data Using Azure Synapse Analytics

9. Chapter 9: Transforming Data Using Azure Synapse Dataflows

10. Chapter 10: Building the Serving Layer in Azure Synapse SQL Pool

11. Chapter 11: Monitoring Synapse SQL and Spark Pools

12. Chapter 12: Optimizing and Maintaining Synapse SQL and Spark Pools

13. Chapter 13: Monitoring and Maintaining Azure Data Engineering Pipelines

14. Index

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Loading data into a dedicated SQL pool using COPY INTO

Loading data into a dedicated SQL pool using the COPY INTO T-SQL statement is a very fast and efficient method. In this recipe, we will load one CSV file and one Parquet file into two dedicated SQL pool tables.

Getting ready

To get started, perform the following steps:

Log in to https://portal.azure.com using your Azure credentials.
Create a Synapse Analytics workspace, as explained in the Provisioning an Azure Synapse Analytics workspace recipe of Chapter 8, Processing Data Using Azure Synapse Analytics.
Download the transaction-tbl.csv and transaction-tbl.parquet files from https://github.com/PacktPublishing/Azure-Data-Engineering-Cookbook-2nd-edition/tree/main/chapter10.
In the Synapse Analytics workspace, create a folder named files in the data lake account attached to the Synapse Analytics workspace. Upload the transaction-tbl.csv and transaction-tbl.parquet files to the files folder.