LEARN APACHE AIRFLOW
Master Data Orchestration with Technical Precision
This 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 workers
By 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
"synopsis" may belong to another edition of this title.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition. Seller Inventory # 50307903
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New. Seller Inventory # 50307903-n
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condition: new. Paperback. 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 This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798282163728
Seller: PBShop.store US, Wood Dale, IL, U.S.A.
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L0-9798282163728
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L0-9798282163728
Quantity: Over 20 available
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New. Seller Inventory # 50307903-n
Quantity: Over 20 available
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: As New. Unread book in perfect condition. Seller Inventory # 50307903
Quantity: Over 20 available
Seller: CitiRetail, Stevenage, United Kingdom
Paperback. Condition: new. Paperback. 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 This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798282163728
Quantity: 1 available