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

When to use normalization as a design strategy

In real life, entity analysis and normalizing data may not be as separate as this book suggests. They both lead to an ERD. Hence, you can utilize entity analysis skills (arguments) during normalization, and vice versa. Especially when you don't create a new database but you alter (extend) an existing one that isn't well normalized, you will use both techniques simultaneously.

For many people, normalizing data is equivalent to relational databases. The misconception is that a database has to be normalized in order to be a relational database. In Chapter 1, Introduction to Databases, you learned that storing data as tables is what makes a database relational. You also learned that those tables have to be created before you can store actual data. All databases created using a Relational Database Management System (RDBMS) are relational databases. However, normalizing is a technique used to design relational databases.

This...