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

Summary

Our current society thrives on data. People sometimes say, "Data is the new gold." Even though most of the digital data we create is not stored in databases (think about movies, music, pictures…), databases play a crucial role in our information-driven world.

It is important to consider what you want to do with your data and what the nature of your data is. Choose the right system for the job, whether that is a NoSQL database or a relational database. Choose the proper modeling technique to set up your database.

In this chapter, you learned mostly about relational databases, although much of what has been covered applies to databases in general. A relational database is a database based on set theory, where data is stored as rows in tables. Rows should be unique in tables. We use a primary key to enforce uniqueness, and we use foreign keys to relate tables to one another.

The best way to design a database depends on its intended usage. We will cover this in detail in Chapter 3, Normalizing Data, and in Chapter 7, Dimensional Modeling.

The next chapter focuses on entity analysis. Entity analysis is about what to store and how to store it.