Data Modeling with Snowflake: A practical guide to accelerating Snowflake development using universal data modeling techniques

Discover how Snowflake's unique objects and features can be used to leverage universal modeling techniques through real-world examples and SQL recipes

Purchase of the print or Kindle book includes a free PDF eBook

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

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 features and applications of data modeling
• Explore Snowflake's cloud-native architecture and features
• Understand and apply modeling concepts, techniques, and language using Snowflake objects
• Master modeling concepts such as normalization and slowly changing dimensions
• Get comfortable reading and transforming semi-structured data
• Work directly with pre-built recipes and examples
• 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.

發現如何通過實際案例和 SQL 配方利用 Snowflake 的獨特對象和功能來運用通用建模技術。

購買印刷版或 Kindle 版本的書籍將包含一本免費的 PDF 電子書。

主要特點：

- 使用原生 Snowflake 架構學習與實際案例相關的核心建模技術。
- 採用通用建模語言，向功能團隊傳達業務價值。
- 通過 SQL 配方超越物理建模，轉換和塑造您的 Snowflake 數據。

書籍描述：

Snowflake 數據雲是最快增長的數據倉儲和應用工作負載平台之一。Snowflake 的可擴展的雲原生架構和廣泛的功能和對象使您能夠比以往更快地提供數據解決方案。

然而，我們必須確保這些解決方案是使用推薦的設計模式開發的，並且伴隨著對組織中每個人都容易訪問的文檔。

本書將幫助您熟悉簡單而實用的數據建模框架，這些框架可以加速敏捷設計並隨著項目從概念到代碼的演變而發展。這些通用原則幫助指導數據庫設計數十年，本書將它們與獨特的 Snowflake 原生對象和案例結合在一起，從而為您提供理論和直接應用的雙重速成課程。

通過閱讀本書，您將學習如何利用 Snowflake 的創新功能（如時間旅行、零拷貝克隆和變更數據捕獲）通過經過時間考驗的建模原則創建具有成本效益和高效的設計，這些原則與實際案例結合時易於理解。

您將學到什麼：

- 發現數據建模的節省時間功能和應用。
- 探索 Snowflake 的雲原生架構和功能。
- 理解並應用使用 Snowflake 對象的建模概念、技術和語言。
- 掌握建模概念，如規範化和緩慢變化的維度。
- 熟悉讀取和轉換半結構化數據。
- 直接使用預先構建的配方和案例。
- 應用從星型模型到數據庫模型的建模框架。

本書適合對 SQL 有經驗的開發人員，他們希望建立在建模最佳實踐方面的堅實基礎，並了解在哪些方面可以有效應用以節省時間和精力。無論您是 SQL 邏輯的高手還是剛開始進行數據庫設計，本書都將為您提供數據建模的實用基礎，指導您在 Snowflake 上的數據之旅。最近發現 Snowflake 的開發人員將能夠揭示其核心功能並學習將其納入通用建模框架中的方法。

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 Mod

1. 解鎖建模的力量
2. 四種建模類型介紹
3. 精通 Snowflake 的架構
4. 精通 Snowflake 物件
5. 透過 Snowflake 物件進行建模
6. 透過建模符號看 Snowflake 的架構
7. 將概念建模實踐化
8. 將邏輯建模實踐化
9. 資料庫正規化
10. 資料庫命名和結構
11. 將物理建模實踐化
12. 將轉換建模實踐化
13. 建模慢變化維度
14. 快速分析事實建模
15. 建模半結構化數據
16. 建模層次結構
17. 擴展數據模型