Data Modeling with Snowflake: A practical guide to accelerating Snowflake development using universal data modeling techniques
by Serge Gershkovich(Author), Kent Graziano (Foreword)
Publisher finelybook 出版社: Packt Publishing (May 31)
Language 语言: English
Print Length 页数: 324 pages
ISBN-10: 1837634459
ISBN-13: 9781837634453
Book Description
By finelybook
Leverage the agility of universal modeling techniques through real-world examples and SQL templates using Snowflake’s unique objects and features
Key Features
Learn core modeling techniques tied to practical examples using native Snowflake architecture
Adopt a universal modeling language to communicate business value to functional teams
Go beyond physical modeling with SQL recipes to transform and shape your Snowflake data
Book Description
By finelybook
The Snowflake Data Cloud is one of the fastest-growing platforms for data warehousing and application workloads. Snowflake’s scalable, cloud-native architecture and expansive set of features and objects enables you to deliver data solutions quicker than ever before.
Yet, we must ensure that these solutions are developed using recommended design patterns and accompanied by documentation that’s easily accessible to everyone in the organization.
This book will help you get familiar with simple and practical data modeling frameworks that accelerate agile design and evolve with the project from concept to code. These universal principles have helped guide database design for decades, and this book pairs them with unique Snowflake-native objects and examples like never before – giving you a two-for-one crash course in theory as well as direct application.
By the end of this Snowflake book, you’ll have learned how to leverage Snowflake’s innovative features, such as time travel, zero-copy cloning, and change-data-capture, to create cost-effective, efficient designs through time-tested modeling principles that are easily digestible when coupled with real-world examples.
What you will learn
Discover the time-saving benefits and applications of data modeling
Learn about Snowflake’s cloud-native architecture and its features
Understand and apply modeling techniques using Snowflake objects
Universal modeling concepts and language through Snowflake objects
Get comfortable reading and transforming semistructured data
Learn directly with pre-built recipes and examples
Learn to apply modeling frameworks from Star to Data Vault
Who this book is for
This book is for developers working with SQL who are looking to build a strong foundation in modeling best practices and gain an understanding of where they can be effectively applied to save time and effort. Whether you’re an ace in SQL logic or starting out in database design, this book will equip you with the practical foundations of data modeling to guide you on your data journey with Snowflake. Developers who’ve recently discovered Snowflake will be able to uncover its core features and learn to incorporate them into universal modeling frameworks.
Table of Contents
1.Unlocking the Power of Modeling
2.An Introduction to the Four Modeling Types
3.Mastering Snowflake’s Architecture
4.Mastering Snowflake Objects
5.Speaking Modeling through Snowflake Objects
6.Seeing Snowflake’s Architecture through Modeling Notation
7.Putting Conceptual Modeling into Practice
8.Putting Logical Modeling into Practice
9.Database Normalization
10.Database Naming and Structure
11.Putting Physical Modeling into Practice
12.Putting Transformational Modeling into Practice
13.Modeling Slowly Changing Dimensions
14.Modeling Facts for Rapid Analysis
15.Modeling Semi-Structured Data
16.Modeling Hierarchies
17.Scaling Data Models through Modern Techniques
18.Appendix
