Data Engineering with dbt 1st Edition

Grabs attention: If you’re building reliable analytics pipelines, Data Engineering with dbt (1st Edition) by Roberto Zagni is the practical guide that turns theory into production-ready workflows. Clear, focused, and contemporary, this book puts the power of dbt at the center of modern ELT and analytics engineering.

Builds interest: Zagni walks readers through the fundamentals of designing, testing, and maintaining transformations using dbt, with concise explanations of modular SQL, version control, and model orchestration. Expect hands-on patterns for common data warehouse platforms, guidance on project structure, and best practices for collaboration between data engineers, analysts, and stakeholders.

Creates desire: Whether you’re migrating legacy ETL, standardizing transformation logic, or improving data quality, this edition equips teams with repeatable techniques to reduce errors, accelerate delivery, and scale analytics. Learn how to implement documentation and testing that make pipelines transparent, enforceable, and auditable — essential for organizations across the US, UK, Europe, APAC, and beyond that depend on trustworthy insights.

Drives action: A concise, professionally written resource tailored to practitioners and team leads, Data Engineering with dbt (1st Edition) is ideal for data engineers, analytics engineers, BI professionals, and SQL-savvy analysts ready to elevate their workflows. Add this authoritative guide to your shelf to start transforming how your organization builds and maintains data models. Order your copy today and bring clarity, reliability, and speed to your data transformation stack.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.