{"product_id":"apache-airflow-for-data-engineering-build-scalable-etl-elt-and-ai-pipelines-with-python-a-complete-guide-to-orchestrating-modern-data-workflows-a-9798277758687","title":"Apache Airflow for Data Engineering: Build Scalable ETL, ELT, and AI Pipelines with Python: A Complete Guide to Orchestrating Modern Data Workflows, A","description":"\u003cp\u003e • Author(s): Hayden Van Der Post | Alice Schwartz | Takehiro Kanegi\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Data Science - General\u003c\/p\u003e\u003cp\u003e\u003cb\u003eReactive Publishing\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eModern data systems live or die by their ability to move, transform, and operationalize information at scale. \u003cb\u003eApache Airflow for Data Engineering\u003c\/b\u003e is the definitive guide to designing, orchestrating, and managing production-grade pipelines using Airflow 2.x, written by data engineering expert \u003cb\u003eTakehiro Kanegi\u003c\/b\u003e.\u003c\/p\u003e\u003cp\u003eAcross hundreds of organizations, Airflow has become the backbone of automated analytics, AI workflows, and enterprise ETL. This book teaches you not just how to use Airflow, but how to think like a workflow architect capable of building resilient, maintainable, and scalable systems.\u003c\/p\u003e\u003cp\u003eYou will learn the complete lifecycle of modern data pipelines, from ingestion and transformation to orchestration, monitoring, and optimization. Through real-world patterns and end-to-end project builds, you'll discover how to integrate Airflow with tools across the modern stack including Snowflake, BigQuery, Redshift, Spark, Kubernetes, object stores, APIs, and machine learning pipelines.\u003c\/p\u003e\u003cp\u003eWhether you're building daily ETL, autonomous ELT models, or AI-driven production systems, this book gives you the blueprint, best practices, and architectural patterns required to deliver reliable automation at scale.\u003c\/p\u003e\u003cb\u003eInside, you'll learn how to: \u003c\/b\u003e\u003cul\u003e\n\u003cli\u003e\u003cp\u003eBuild DAGs using Airflow's modern Pythonic features and best practices\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eOrchestrate large-scale ETL and ELT pipelines across cloud data platforms\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eImplement robust scheduling, dependency management, sensors, and triggers\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eDeploy Airflow using KubernetesExecutor, CeleryExecutor, Docker, or managed services\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eIntegrate Airflow with Snowflake, BigQuery, Spark, S3, GCP, Azure, and REST\/GraphQL APIs\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eAutomate machine learning workflows for training, evaluation, and deployment\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eEngineer highly available Airflow environments with enterprise logging and observability\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eApply production-ready patterns for retries, idempotency, SLAs, backfills, and lineage\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eBuild fully automated data platforms that scale predictably with demand\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cb\u003eWho This Book Is For\u003c\/b\u003e\u003cp\u003eData engineers, ML engineers, analytics professionals, software engineers, and technical leaders who need to orchestrate reliable, automated workflows across complex data ecosystems. No prior Airflow experience required - only a foundation in Python.\u003c\/p\u003e\u003cb\u003eWhy This Book Matters\u003c\/b\u003e\u003cp\u003eAirflow is more than a scheduler. It is the operating system for data engineering and AI automation. \u003cb\u003eTakehiro Kanegi\u003c\/b\u003e delivers a comprehensive, deeply practical guide that shows you how to architect real systems, avoid common pitfalls, and build pipelines that work every time.\u003c\/p\u003e\u003cp\u003eIf you want your data workflows to be automated, scalable, and production-ready, this book will show you how to get there.\u003c\/p\u003e","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":47593609429143,"sku":"9798277758687","price":3289.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798277758687.webp?v=1774982648","url":"https:\/\/atlanticbooks.com\/products\/apache-airflow-for-data-engineering-build-scalable-etl-elt-and-ai-pipelines-with-python-a-complete-guide-to-orchestrating-modern-data-workflows-a-9798277758687","provider":"Atlantic Books","version":"1.0","type":"link"}