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Data Engineering with dbt

You're reading from Data Engineering with dbt

Product type Book

Published in Jun 2023

Publisher Packt

ISBN-13 9781803246284

Pages 578 pages

Edition 1st Edition

Languages

Concepts

Author (1):

Roberto Zagni

Table of Contents (21) Chapters

Preface

1. Part 1: The Foundations of Data Engineering

2. Chapter 1: The Basics of SQL to Transform Data

3. Chapter 2: Setting Up Your dbt Cloud Development Environment

4. Chapter 3: Data Modeling for Data Engineering

5. Chapter 4: Analytics Engineering as the New Core of Data Engineering

6. Chapter 5: Transforming Data with dbt

7. Part 2: Agile Data Engineering with dbt

8. Chapter 6: Writing Maintainable Code

9. Chapter 7: Working with Dimensional Data

10. Chapter 8: Delivering Consistency in Your Data

11. Chapter 9: Delivering Reliability in Your Data

12. Chapter 10: Agile Development

13. Chapter 11: Team Collaboration

14. Part 3: Hands-On Best Practices for Simple, Future-Proof Data Platforms

15. Chapter 12: Deployment, Execution, and Documentation Automation

16. Chapter 13: Moving Beyond the Basics

17. Chapter 14: Enhancing Software Quality

18. Chapter 15: Patterns for Frequent Use Cases

19. Index

Why subscribe?

20. Other Books You May Enjoy

Experimenting with SQL in dbt Cloud

Now that you have dbt Cloud set up and connected to your Snowflake data platform, you can use the dbt IDE to issue SQL commands and see the results. The Preview feature allows you to easily test models while you are developing them, but it can also be used to just run any SQL on your DB.

In this section, we are going to run some of the examples we saw in the previous chapter so that you can get used to the dbt interface and experiment with SQL if you are not familiar with it.

Exploring the dbt Cloud IDE

Let’s start by looking at the dbt Cloud IDE. The default layout of the IDE is vertically divided in two; on the left, you have the VC area and below it a folder structure that is used to organize the files of your dbt project, while on the right, there are the main editing and result areas.

The main area of the screen is again divided in two; at the top, there is the editor, where you edit the source code of your models, while in...

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Authors (1)

Roberto Zagni

Roberto Zagni is a senior leader with extensive hands-on experience in data architecture, software development and agile methodologies. Roberto is an Electronic Engineer by training with a special interest in bringing software engineering best practices to cloud data platforms and growing great teams that enjoy what they do. He has been helping companies to better use their data, and now to transition to cloud based Data Automation with an agile mindset and proper SW engineering tools and processes, aka DataOps. Roberto also coaches data teams hands-on about practical data architecture and the use of patterns, testing, version control and agile collaboration. Since 2019 his go to tools are dbt, dbt Cloud and Snowflake or BigQuery.

See other products by Roberto Zagni

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