Book Image

Azure Data Engineering Cookbook

By : Ahmad Osama
Book Image

Azure Data Engineering Cookbook

By: Ahmad Osama

Overview of this book

Data engineering is one of the faster growing job areas as Data Engineers are the ones who ensure that the data is extracted, provisioned and the data is of the highest quality for data analysis. This book uses various Azure services to implement and maintain infrastructure to extract data from multiple sources, and then transform and load it for data analysis. It takes you through different techniques for performing big data engineering using Microsoft Azure Data services. It begins by showing you how Azure Blob storage can be used for storing large amounts of unstructured data and how to use it for orchestrating a data workflow. You'll then work with different Cosmos DB APIs and Azure SQL Database. Moving on, you'll discover how to provision an Azure Synapse database and find out how to ingest and analyze data in Azure Synapse. As you advance, you'll cover the design and implementation of batch processing solutions using Azure Data Factory, and understand how to manage, maintain, and secure Azure Data Factory pipelines. You’ll also design and implement batch processing solutions using Azure Databricks and then manage and secure Azure Databricks clusters and jobs. In the concluding chapters, you'll learn how to process streaming data using Azure Stream Analytics and Data Explorer. By the end of this Azure book, you'll have gained the knowledge you need to be able to orchestrate batch and real-time ETL workflows in Microsoft Azure.
Table of Contents (11 chapters)

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:


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: