Apache Airflow Demystified: Build, Schedule, and Monitor Data Pipelines
Apache Airflow Demystified: Build, Schedule, and Monitor Data Pipelines: Practical Examples and Best Practices for Apache Airflow Implementation by R. Parvin
English | March 3, 2024 | ISBN: N/A | ASIN: B0CW1HL45S | 276 pages | EPUB | 2.69 Mb
English | March 3, 2024 | ISBN: N/A | ASIN: B0CW1HL45S | 276 pages | EPUB | 2.69 Mb
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 Features:
- Master the Fundamentals: Build a rock-solid foundation in Airflow's architecture, concepts, and user interface.
- Step-by-Step Guidance: Create your first fully functional data pipeline, from DAG design to monitoring and execution.
- Practical Techniques: Employ operators, sensors, hooks, and connections to interact with databases, cloud services, and external systems.
- Advanced Orchestration: Conquer complexity with SubDAGs, TaskGroups, and XComs, optimizing your workflows and unlocking new levels of efficiency.
- Execution Mastery: Understand executors like Celery and Kubernetes, tailoring Airflow to suit your infrastructure and workload.
- Plugin Power: Extend Airflow's capabilities by building your own plugins, seamlessly integrating with Elasticsearch and other specialized tools.
- Clear and Concise: Complex Airflow concepts are explained in plain language, making it accessible for beginners and experienced users alike.
- Real-World Examples: Practical use cases demonstrate how to solve common data engineering problems.
- Best Practice Focus: Learn battle-tested patterns and techniques to build maintainable and scalable data pipelines.