Data Engineering with dbt: A practical guide to building a cloud-based, pragmatic, and dependable data platform with SQL
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Data Engineering with dbt: A practical guide to building a cloud-based, pragmatic, and dependable data platform with SQL – Ebook Instant Download/Delivery ISBN(s): 9781803246284,1803246286
Product details:
- ISBN-10 : 1803246286
- ISBN-13 : 978-1803246284
- Author: Roberto Zagni
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.
Table contents:
Chapter 1: The Basics of SQL to Transform Data
Chapter 2: Setting Up Your dbt Cloud Development Environment
Chapter 3: Data Modeling for Data Engineering
Chapter 4: Analytics Engineering as the New Core of Data Engineering
Chapter 5: Transforming Data with dbt
Chapter 6: Writing Maintainable Code
Chapter 7: Working with Dimensional Data
Chapter 8: Delivering Consistency in Your Data
Chapter 9: Delivering Reliability in Your Data
Chapter 10: Agile Development
Chapter 11: Team Collaboration
Chapter 12: Deployment, Execution, and Documentation Automation
Chapter 13: Moving Beyond the Basics
Chapter 14: Enhancing Software Quality
Chapter 15: Patterns for Frequent Use Cases
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