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

Implementing a Data Vault

So far in this book, design chapters were followed by provision and implement chapters. A Data Vault data warehouse, however, is a relational database. You can implement a Data Vault using either a SQL database or a Synapse Analytics dedicated SQL pool. The choice is largely economical. The total size of the Data Vault will matter. You need to estimate the total size. Once you know the tables and the data types of the columns, you can calculate the size by estimating the number of rows. You then need to know something about the usage and the performance you need. Size and performance together determine whether a SQL database will do the job or whether you need a Synapse SQL pool. In both cases, you can use the skills learned in earlier chapters to implement the Data Vault.