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)

Chapter 4: Control Flow Activities in Azure Data Factory

Azure Data Factory (ADF) is a cloud extract, transform, and load service. ADF is used to read data from multiple sources, transforming and loading the data into databases to be consumed for reporting, data science, or machine learning. ADF provides a code-free UI to develop, manage, and maintain data pipelines.

ADF is compatible with SQL Server Integration Services (SSIS). Existing SSIS packages can be easily migrated and run in ADF.

ADF is an essential Azure data engineering product and is a must for an Azure data engineer to learn.

In this chapter, we'll cover the following recipes:

  • Implementing control flow activities
  • Implementing control flow activities – Lookup and If activities
  • Triggering a pipeline in Azure Data Factory