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  • Book Overview & Buying Data Modeling with Snowflake
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Data Modeling with Snowflake

Data Modeling with Snowflake

By : Serge Gershkovich
4.6 (19)
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Data Modeling with Snowflake

Data Modeling with Snowflake

4.6 (19)
By: Serge Gershkovich

Overview of this book

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.
Table of Contents (24 chapters)
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1
Part 1: Core Concepts in Data Modeling and Snowflake Architecture
8
Part 2: Applied Modeling from Idea to Deployment
14
Part 3: Solving Real-World Problems with Transformational Modeling

Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

A

accumulating snapshot fact tables 219

additive facts 219

alternate keys (AKs)

as unique constraints 80

associative entity 123

atomic grain 110

attributes 22

adding 121

attributes, as columns 70

semi-structured data, storing 72

Snowflake data types 71

auditability 265

B

Boyce-Codd Normal Form (BCNF) 138, 141, 142

bridge table 256, 264

Business Event Analysis and Modeling (BEAM) method 106

business intelligence (BI) 31

tools 85

business key 78, 200

Business Vault 264

bus matrix

visualizing, in conceptual model 112, 113

C

cache

metadata cache 44

query results cache 44

services layer 44

storage layer 45

using 43

warehouse cache 45

candidate key 139

capital expenditure (CapEx) 36

cardinality 22

...
CONTINUE READING
83
Tech Concepts
36
Programming languages
73
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Data Modeling with Snowflake
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