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)

Securing an Azure storage account with SAS using PowerShell

A shared access signature (SAS) provides more granular access to blobs by specifying an expiry limit, specific permissions, and IPs.

Using SAS, we can specify different permissions to users or application on different blobs based on the requirement. For example, if an application needs to read one file/blob from a container, instead of providing access to all the files in the container, we can use SAS to provide read access on the required blob.

In this recipe we'll learn to create and use SAS to access blobs.

Getting ready

Before you start, go through the following steps:

  • Make sure you have an existing Azure storage account. If not, create one by following the Provisioning an Azure storage account using PowerShell recipe.
  • Make sure you have an existing Azure storage container. If not, create one by following the Creating containers and uploading files to Azure Blob storage using PowerShell recipe...