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Apache Airflow in Action: Build Production-Ready Data Pipelines: Build, Schedule, and Scale Production-Ready Pipelines with ETL, PySpark, Databricks, ... 11 (Data Engineering Domain For professional)

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Description

Master Apache Airflow and Build Production-Ready Data Pipelines — Even If You’re Starting from Scratch Modern data teams don’t just move data — they orchestrate complex, scalable, and reliable pipelines. Apache Airflow has become the industry standard for workflow orchestration used by companies worldwide. But most tutorials stop at basic DAG examples… This book takes you all the way to real production mastery. Whether you are an aspiring data engineer, ETL developer, or backend engineer moving into the modern data stack, this hands-on guide will teach you how to design, build, scale, and optimize Airflow pipelines used in real-world environments. Inside This Book, You Will Learn How To: Understand Airflow architecture from the ground up Design clean and maintainable DAGs Build end-to-end ETL pipelines Orchestrate PySpark and Databricks workloads Integrate Airflow with Kafka streaming pipelines Implement retries, alerting, and failure handling Scale Airflow using Celery and Kubernetes executors Optimize scheduler and metadata database performance Deploy Airflow on AWS, GCP, and Azure Implement CI/CD for Airflow pipelines Apply production best practices used by real data teams Crack Apache Airflow interview questions with confidence This Book Is Perfect For: Aspiring data engineers ETL developers Spark and Databricks users Backend engineers working with data pipelines Professionals preparing for data engineering interviews Anyone serious about mastering Apache Airflow What Makes This Book Different Unlike many theoretical guides, this book focuses on: Real production scenarios Hands-on pipeline design Cloud and Spark integration Performance tuning techniques Interview-focused preparation Step-by-step practical examples You won’t just learn Airflow — you’ll learn how to use it like a professional data engineer.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
21 February 2026
Listed Since
22 February 2026

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