dbt Cloud helps professional analytics engineers automate the application of powerful and proven patterns to transform data from ingestion to delivery, enabling real DataOps.
This book begins by introducing you to dbt and its role in the data stack, along with how it uses simple SQL to build your data platform, helping you and your team work better together. You’ll find out how to leverage data modeling, data quality, master data management, and more to build a simple-to-understand and future-proof solution. As you advance, you’ll explore the modern data stack, understand how data-related careers are changing, and see how dbt enables this transition into the emerging role of an analytics engineer. The chapters help you build a sample project using the free version of dbt Cloud, Snowflake, and GitHub to create a professional DevOps setup with continuous integration, automated deployment, ELT run, scheduling, and monitoring, solving practical cases you encounter in your daily work.
By the end of this dbt book, you’ll be able to build an end-to-end pragmatic data platform by ingesting data exported from your source systems, coding the needed transformations, including master data and the desired business rules, and building well-formed dimensional models or wide tables that’ll enable you to build reports with the BI tool of your choice.
publication date
2023-06-30
what you will learn
Create a dbt Cloud account and understand the ELT workflow
Combine Snowflake and dbt for building modern data engineering pipelines
Use SQL to transform raw data into usable data, and test its accuracy
Write dbt macros and use Jinja to apply software engineering principles
Test data and transformations to ensure reliability and data quality
Build a lightweight pragmatic data platform using proven patterns
Write easy-to-maintain idempotent code using dbt materialization
key features
Build a solid dbt base and learn data modeling and the modern data stack to become an analytics engineer * Build automated and reliable pipelines to deploy, test, run, and monitor ELTs with dbt Cloud * Guided dbt + Snowflake project to build a pattern-based architecture that delivers reliable datasets
approach
Hands-on approach, complete with step-by-step explanations of essential concepts, including basics of SQL, practical examples and self-assessment tasks, you will begin building agile data platforms that stay simple and deliver quickly value to your business, without compromising on their extendability.
audience
This book is for data engineers, analytics engineers, BI professionals, and data analysts who want to learn how to build simple, futureproof, and maintainable data platforms in an agile way. Project managers, data team managers, and decision makers looking to understand the importance of building a data platform and foster a culture of high-performing data teams will also find this book useful. Basic knowledge of SQL and data modeling will help you get the most out of the many layers of this book. The book also includes primers on many data-related subjects to help juniors get started.
short description
This book shows you how dbt makes it easy to build professional data platforms using simple SQL. You’ll learn about the use of patterns, tests, and architecture in dbt to break the complexity of a data platform in its components, to let dbt handle the boilerplate code, and support automation and collaboration in your team with your git provider.
subtitle
A practical guide to building a cloud-based, pragmatic, and dependable data platform with SQL
keywords
sql for data analytics; data analysis; Snowflake book; sql for data analysis; devops book; sql data analysis; sql data
Product ISBN
9781803246284
