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LEARN APACHE AIRFLOW: Master Data Orchestration with Technical Precision (Data Extreme USA Book 4)
CLP 11942
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Master Apache Airflow for orchestrating complex workflows in production environments.
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Product Details
- LEARN APACHE AIRFLOWMaster Data Orchestration with Technical PrecisionThis book is ideal for students, data engineers, analysts, and DevOps professionals who want to master Apache Airflow for orchestrating complex workflows in production environments. You will learn how to configure DAGs, work with operators, integrate external APIs, scale with Celery and Kubernetes, and apply best practices in security and observability. Explore concepts such as XCom, trigger rules, parallelism, remote logging, and DAG versioning, all with a focus on practical application.Includes:• Creation and execution of DAGs with native operators• Integration with REST APIs, databases, and distributed systems• Configuration of Celery and Kubernetes executors for high scalability• Monitoring implementation with Prometheus and Grafana• Automated deployments with Git and CI/CD pipelines• Security strategies with RBAC, encryption, and secret protection• Performance optimization and load balancing across workersBy the end, you will be ready to apply Apache Airflow strategically, ensuring reliable automation, scalability, and data governance in corporate projects.airflow, data orchestration, pipelines, devops, ci/cd, monitoring, automation, scalability, big data, data engineering
| Publication date | May 1, 2025 |
| Language | English |
| File size | 342 KB |
| Screen Reader | Supported |
| Enhanced typesetting | Enabled |
| X-Ray | Not Enabled |
| Word Wise | Not Enabled |
| Print length | 226 pages |
| Page Flip | Enabled |
| Book 4 of 18 | Data Extreme USA |
| Item Weight | 0.5 lbs (230 grams) |
Product Description
LEARN APACHE AIRFLOW: Master Data Orchestration with Technical Precision (Data Extreme USA Book 4)
Customer Questions & Answers
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Question:
Who is this book intended for?
Answer: This book is intended for students, data engineers, analysts, and DevOps professionals. -
Question:
What key concepts will I learn?
Answer: You will learn about configuring DAGs, integrating APIs, scaling with Celery and Kubernetes, and implementing security strategies. -
Question:
How will this book help with automation and scalability?
Answer: It provides practical insights into automated deployments, monitoring solutions, and best practices for scalable data orchestration.
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CLP 11942
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Features & Benefits
- Ideal for students, data engineers, analysts, and DevOps professionals.
- Learn to configure DAGs and work with various operators effectively.
- Integration with REST APIs, databases, and distributed systems for seamless workflow.
- Scale applications using Celery and Kubernetes for high performance.
- Implement monitoring and automation with Prometheus, Grafana, Git, and CI/CD.
- Focus on security and performance optimization for reliable data governance.
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