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Apache Airflow Demystified: Build, Schedule, and Monitor Data Pipelines: Practical Examples and Best Practices for Apache Airflow Implementation
Harness the power of Apache Airflow to orchestrate complex data pipelines with precision. "Apache Airflow Demystified" is your comprehensive guide to building, maintaining, and scaling robust data workflows. Whether you're a data engineer, developer, or DevOps professional, this book will equip you with the knowledge and best practices to streamline data integration, transformation, and analysis.
Key
Master the Build a rock-solid foundation in Airflow's architecture, concepts, and user interface.Step-by-Step Create your first fully functional data pipeline, from DAG design to monitoring and execution.Practical Employ operators, sensors, hooks, and connections to interact with databases, cloud services, and external systems.Advanced Conquer complexity with SubDAGs, TaskGroups, and XComs, optimizing your workflows and unlocking new levels of efficiency.Execution Understand executors like Celery and Kubernetes, tailoring Airflow to suit your infrastructure and workload.Plugin Extend Airflow's capabilities by building your own plugins, seamlessly integrating with Elasticsearch and other specialized tools.Why Choose This Book
Clear and Complex Airflow concepts are explained in plain language, making it accessible for beginners and experienced users alike.Real-World Practical use cases demonstrate how to solve common data engineering problems.Best Practice Learn battle-tested patterns and techniques to build maintainable and scalable data pipelines.Transform your approach to data engineering with "Apache Airflow Demystified" and master the art of workflow orchestration.
Key
Master the Build a rock-solid foundation in Airflow's architecture, concepts, and user interface.Step-by-Step Create your first fully functional data pipeline, from DAG design to monitoring and execution.Practical Employ operators, sensors, hooks, and connections to interact with databases, cloud services, and external systems.Advanced Conquer complexity with SubDAGs, TaskGroups, and XComs, optimizing your workflows and unlocking new levels of efficiency.Execution Understand executors like Celery and Kubernetes, tailoring Airflow to suit your infrastructure and workload.Plugin Extend Airflow's capabilities by building your own plugins, seamlessly integrating with Elasticsearch and other specialized tools.Why Choose This Book
Clear and Complex Airflow concepts are explained in plain language, making it accessible for beginners and experienced users alike.Real-World Practical use cases demonstrate how to solve common data engineering problems.Best Practice Learn battle-tested patterns and techniques to build maintainable and scalable data pipelines.Transform your approach to data engineering with "Apache Airflow Demystified" and master the art of workflow orchestration.
276 pages, Kindle Edition
Published March 3, 2024
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