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

:	Serge Gershkovich
:	Data Modeling with Snowflake A practical guide to accelerating Snowflake development using universal data modeling techniques
:	Packt Publishing
:	9781837632787
:	1
:	CHF 27.10
:

:	Informatik
:	English

:	324
:	DRM
:	PC/MAC/eReader/Tablet
:	ePUB

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.

Preface

Snowflake is one of the leading cloud data platforms and is gaining popularity among organizations looking to migrate their data to the cloud. With its game-changing features, Snowflake is unlocking new possibilities for self-service analytics and collaboration. However, Snowflake’s scalable consumption-based pricing model demands that users fully understand its revolutionary three-tier cloud architecture and pair it with universal modeling principles to ensure they are unlocking value and not letting money vaporize intothe cloud.

Data modeling is essential for building scalable and cost-effective designs in data warehousing. Effective modeling techniques not only help businesses build efficient data models but also enable them to better understand their business. Though modeling is largely database-agnostic, pairing modeling techniques with game-changing Snowflake features can help build Snowflake’s most performant andcost-effective solutions.

This book combines the best practices in data modeling with Snowflake’s powerful features to offer you the most efficient and effective approach to data modeling in Snowflake. Using these techniques, you can optimize your data warehousing processes, improve your organization’s data-driven decision-making capabilities, and save valuable timeand resources.

Who this book is for

Database modeling is a simple, yet foundational tool for enhancing communication and decision-making within enterprise teams and streamlining development. By pairing modeling-first principles with the specifics of Snowflake architecture, this book will serve as an effective tool for data engineers looking to build cost-effective Snowflake systems for business users looking for an easy way tounderstand them.

The three main personas who are the target audience of this content areas follows:

Data engineers: This book takes a Snowflake-centered approach to designing data models. It pairs universal modeling principles with unique architectural facets of the data cloud to help build performant and cost-effective solutions.
Data architects: While familiar with modeling concepts, many architects may be new to the Snowflake platform and are eager to learn and incorporate its best features into their designs for improved efficiency and maintenance.
Business analysts: Many analysts transition from business or functional roles and are cast into the world of data without a formal introduction to database best practices and modeling conventions. This book will give them the tools to navigate their data landscape and confidently create their own models and analyses.

What this book covers

Chapter 1,Unlocking the Power of Modeling, explores the role that models play in simplifying and guiding our everyday experience. This chapter unpacks the concept of modeling into its constituents: natural language, technical, and visual semantics. This chapter also gives you a glimpse into how modeling differs across various typesof databases.

Chapter 2,An Introduction to the Four Modeling Types, looks at the four types of modeling covered in this book: conceptual, logical, physical, and transformational. This chapter gives an overview of where and how each type of modeling is used and what it looks li