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Peter ter Braake - Data Modeling for Azure Data Services: Implement professional data design and structures in Azure

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Peter ter Braake Data Modeling for Azure Data Services: Implement professional data design and structures in Azure
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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

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, youll 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. Youll also learn how to implement ETL with Azure Data Factory.

By the end of this book, youll 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

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Data Modeling for Azure Data Services Implement professional data design and - photo 1
Data Modeling for Azure Data Services

Implement professional data design and structures in Azure

Peter ter Braake

BIRMINGHAMMUMBAI Data Modeling for Azure Data Services Copyright 2021 Packt - photo 2

BIRMINGHAMMUMBAI

Data Modeling for Azure Data Services

Copyright 2021 Packt Publishing

All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.

Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author(s), nor Packt Publishing or its dealers and distributors, will be held liable for any damages caused or alleged to have been caused directly or indirectly by this book.

Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.

Group Product Manager: Kunal Parikh

Publishing Product Manager: Aditi Gour

Senior Editor: Roshan Kumar

Content Development Editors: Sean Lobo, Priyanka Soam

Technical Editor: Arjun Varma

Copy Editor: Safis Editing

Language Support Editor: Safis Editing

Project Coordinator: Aparna Ravikumar Nair

Proofreader: Safis Editing

Indexer: Rekha Nair

Production Designer: Alishon Mendonca

First published: July 2021

Production reference: 1240621

Published by Packt Publishing Ltd.

Livery Place

35 Livery Street

Birmingham

B3 2PB, UK.

ISBN: 978-1-80107-734-7

www.packt.com

Contributors
About the author

Peter ter Braake started working as a developer in 1996 after studying physics in Utrecht, the Netherlands. Databases and business intelligence piqued his interest the most, leading to him specializing in SQL Server and its business intelligence components. He has worked with Power BI from the tool's very beginnings. Peter started working as an independent contractor in 2008. This has enabled him to divide his time between teaching data-related classes, consulting with customers, and writing articles and books.

About the reviewers

Marcel Alsdorf has been working for 4 years as a cloud solution architect at Microsoft. In his role, he consults companies on cloud computing fundamentals, the construction of modern data warehouse pipelines, event systems, and machine learning applications and tooling. In addition, he lectures on big data fundamentals at a German university. Previously, he worked as an FPGA engineer for the LHC project at CERN and as a software engineer in the banking industry.

I would like to thank Christoph Krner for suggesting me as a reviewer and the team at Packt for giving me the opportunity to help Peter ter Braake create a good starting point for people in terms of understanding the fundamentals of data modeling in Azure.

Alexey Bokov is an experienced Azure architect and has been a Microsoft technical evangelist since 2011 he works closely with Microsoft top-tier customers all around the world to develop applications based on the Azure cloud platform. Building cloud-based applications in the most challenging scenarios is his passion, as well as helping the development community to upskill and learn new things by working hands-on and hacking. He has been a long-time contributor, as a co-author and reviewer, to many Azure books and is an occasional speaker at Kubernetes events.

I'd like to thank my family my beautiful wife, Yana, and my amazing son, Kostya, who have supported my efforts to help the author and publisher of this book.

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