Build scalable data architecture with real-world use cases and SQL recipes using Snowflake's unique features. From fundamentals to frameworks, this book helps business and engineering teams unlock the value of their data 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 DescriptionThe 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 enable users to deliver data solutions quicker than ever before. However, unless modeling best-practices are observed, the costs will quickly pile up. When the data and the business model don’t match, or designs fail to leverage platform efficiencies, constant tuning and re-work will result in elevated operational and human capital costs. This book will familiarize the reader with simple and practical data modeling frameworks which accelerate agile design and evolve with the project from concept to code. These universal principles have been guiding database design for decades and, in this book, are coupled for the first time with unique Snowflake-native objects and examples—giving the reader a two-for-one crash course in the theory and its direct application. Readers will learn how to leverage Snowflake’s innovative features like “Time Travel”, “Zero-copy Cloning”, and change-data-capture to create cost-saving, efficient designs through time-tested modeling principles that are easily digestible when coupled with real-world examples. What you will learn Get it right on the first go with the time-saving benefits and applications of data modeling Discover Snowflake's cloud-native architecture and unique features Master modeling concepts to reach new levels of efficiency leveraging Snowflake architecture Learn modeling concepts like normalization and SCDs Read and transform semi-structured data, including hierarchies, and apply pre-built recipes and examples Explore organizational frameworks like Data Vault and Data Mesh Understand the business metrics that drive scalable cost-effective data projects Who this book is forWhether building data products or managing a data platform at scale, this book is for any developer who dove into SQL without first laying the foundation of modeling best-practices and an understanding of where they can effectively be applied to save time and effort. Whether you’re a analyst or someone starting out in database design, this book will equip you with the practical foundations of data modeling which will guide you on your data journey in Snowflake. Those who are new to Snowflake will uncover its core features and learn to incorporate them into universal modeling frameworks