Book Image

Data Modeling for Azure Data Services

By : Peter ter Braake
Book Image

Data Modeling for Azure Data Services

By: Peter ter Braake

Overview of this book

Data is at the heart of all applications and forms the foundation of modern data-driven businesses. With the multitude of data-related use cases and the availability of different data services, choosing the right service and implementing the right design becomes paramount to successful implementation. Data Modeling for Azure Data Services starts with an introduction to databases, entity analysis, and normalizing data. The book then shows you how to design a NoSQL database for optimal performance and scalability and covers how to provision and implement Azure SQL DB, Azure Cosmos DB, and Azure Synapse SQL Pool. As you progress through the chapters, you'll learn about data analytics, Azure Data Lake, and Azure SQL Data Warehouse and explore dimensional modeling, data vault modeling, along with designing and implementing a Data Lake using Azure Storage. You'll also learn how to implement ETL with Azure Data Factory. By the end of this book, you'll have a solid understanding of which Azure data services are the best fit for your model and how to implement the best design for your solution.
Table of Contents (16 chapters)
1
Section 1 – Operational/OLTP Databases
8
Section 2 – Analytics with a Data Lake and Data Warehouse
13
Section 3 – ETL with Azure Data Factory

Introducing the main components of Azure Data Factory

Before getting our hands dirty with hands-on examples, let's get familiar with some terminology. We will do that by explaining the main components comprising Azure Data Factory. Figure 11.2 shows the main components of Azure Data Factory and how they relate to one another:

Figure 11.2 – Azure Data Factory components

The main components comprising Azure Data Factory are as follows:

  • Activities
  • Datasets
  • Linked services
  • Pipelines

Let's look at each of these components in some detail.

Understanding activities

An activity is a piece of work that needs to be completed. An activity is a single piece of work, a single step if you will, in a larger whole. You could also describe an activity as a task that needs to be performed. Basically, there are just two tasks: you either copy or transform data. Getting data into the cloud or, when it is cloud-born, getting it into...