- What Is Data Engineering and Why It Matters Now
- The Modern Data Stack: Concepts and Architecture
- Setting Up Your Local Environment
- Ingesting Data: APIs, Files, and Databases
- Loading Data into the Warehouse
- Data Modeling Fundamentals
- Transforming Data with dbt
- Advanced dbt: Macros, Snapshots, and Incremental Models
- Data Quality and Testing
- Orchestration with Apache Airflow
- Advanced Orchestration: Dependencies, Retries, and Backfills
- Streaming Foundations
- Data Observability and Monitoring
- Performance Optimization
- The Complete Pipeline: End-to-End Dataflow in Production
- Appendix: SQL Reference, Tool Comparison, and Glossary
Practical Data Engineering
Pipelines, warehouses, and the modern data stack from scratch
This book is 100% completeLast updated on 2026-07-22
Build a complete data pipeline from scratch — no cloud signup needed. Fifteen chapters covering ingestion, loading, data modeling, dbt, Airflow, data quality, streaming, observability, and performance optimization. Everything runs locally
with Python and DuckDB.
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$19.00
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About
About the Book
AI needs data, and data needs engineers. This book teaches you to build production-grade data pipelines by actually building one. Over fifteen chapters, you construct "dataflow" — a complete pipeline project that ingests data from APIs and
files, loads it into a DuckDB warehouse, transforms it with dbt, orchestrates everything with Apache Airflow, adds quality checks, and monitors the whole system. Every chapter adds a working component. No cloud signup required — everything
runs on your laptop with Python 3.12+, DuckDB, dbt-core, and Airflow. The book covers the full modern data stack: ELT architecture, dimensional modeling, star schemas, incremental models, dbt macros and snapshots, DAG design, streaming
foundations with Kafka, data observability, and performance optimization with partitioning and Spark. Written for software engineers transitioning to data engineering, backend developers who need to build pipelines, and analysts wanting to
understand the engineering side.
Author
About the Author
CAIO INCAU
aio Incau é Engineering Manager com experiência liderando times de engenharia de software em larga escala. No dia a dia, combina gestão de pessoas com profundidade técnica para entregar produtos que impactam milhões de usuários. Começou a usar Claude Code por curiosidade, virou adepto por produtividade, e escreveu este livro para que outros desenvolvedores não precisem descobrir tudo sozinhos.
Contents
Table of Contents
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