Data Modeling for Azure Data Services: Implement professional data design and structures in Azure
by Peter ter Braake
Print Length 页数: 428 pages
Edition 版次: 1
Language 语言: English
Publisher finelybook 出版社: Packt Publishing
Publication Date 出版日期: 2021-07-30
ISBN-10: 1801077347
ISBN-13: 9781801077347
Book Description
By finelybook
Choose the right Azure data service and correct model design for successful implementation of your data model with the help of this hands-on guide
Key Features
Design a cost-effective,performant,and scalable database in Azure
Choose and implement the most suitable design for a database
Discover how your database can scale with growing data volumes,concurrent users,and query complexity
Book Description
By finelybook
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.
What you will learn
Model relational database using normalization,dimensional,or Data Vault modeling
Provision and implement Azure SQL DB and Azure Synapse SQL Pools
Discover how to model a Data Lake and implement it using Azure Storage
Model a NoSQL database and provision and implement an Azure Cosmos DB
Use Azure Data Factory to implement ETL/ELT processes
Create a star schema model using dimensional modeling
Who this book is for
This book is for business intelligence developers and consultants who work on (modern) cloud data warehousing and design and implement databases. Beginner-level knowledge of cloud data management is expected.
Table of contents
1 Introduction to databases
2. Entity Analysis
3. Normalizing data
4. Provisioning and Implementing an Azure SQL DB
5. Design a NoSQL Database
6. Provisioning and Implementing an Azure Cosmos DB Database
7 Dimensional Modeling
8. Provision and implement an Azure Synapse SQL Pool
9. Data Vault Modeling
10. Designing and Implementing a Data Lake Using Azure Storage
11. Implementing ETL Using Azure Data Factory
