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

Steps in dimensional modeling

As with normalizing data, we can distinguish some formal steps that lead to a data model. Unlike with normalizing data, these steps are used in an iterative approach. The process of designing the star schema leads to new insights that might mean that you have to go back one step. The steps that you need to take are as follows:

  • Choose a process and define the scope.
  • Determine the needed grain.
  • Determine the dimensions.
  • Determine the facts.

Choosing a process and defining the scope

As we already said during Entity Analysis (Chapter 2, Entity Analysis), it is easy to get carried away and model the entire world. Make a clear choice in what the goal of the star schema is. Remember that a single star schema models a single process. A business process can be defined as a set of activities and tasks that, once completed, will accomplish an organizational goal. Examples are sales, marketing, human resources, and so on. The ultimate...