Apache Airflow The Hands On Guide Год выпуска: 2023 Производитель: Udemy Сайт производителя: https://www.udemy.com Автор: Marc Lamberti Продолжительность: 13ч 37м Тип раздаваемого материала: Видеоурок Язык: Английский Описание: Просьба не уходить с раздачи,я не смогу поддерживать раздачу вечно. Поделись халявой с другими людьми,не уходи с раздачи. Призывай других людей переходить на рутрекер. Курс на английском языке. Добавлены английские субтитры. Apache Airflow: The Hands-On Guide is an Apache Airflow workflow management platform training course published by Udemy Online Academy. Apache Airflow is an open source platform used to orchestrate complex workflows and data pipelines. It allows users to define, schedule, and monitor workflows as directed acyclic graphs (DAGs), making it easier to automate and manage data processing tasks. Apache Airflow is widely used in various industries and domains to automate and manage data pipelines, ETL (Extract, Transform, Load) processes, machine learning workflows, and workflow coordination tasks. Its flexibility, scalability, and extensibility make it a popular choice for organizations looking to simplify and automate their data processing and workflow management tasks. In this training course, you will get to know this workflow management platform and you will be able to use it in your project and organization. In this training course, you will learn topics such as Apache Airflow principles, mastering DAG, working with Elasticsearch and Grafana, using Airflow and Kubernetes Executor, formatting DAG, how to depend DAG on another, scaling Apache Airflow and more. This course is recommended for data engineers, DevOps, software engineers and people who want to use the potential of Apache Airflow in their projects.
Содержание
1. Introduction 2. The basics of Apache Airflow 3. The Forex Data Pipeline 4. Mastering your DAGs 5. Distributing Apache Airflow 6. Improving your DAGs with advanced concepts 7. Deploying Airflow on AWS EKS with Kubernetes Executors and Rancher 8. Monitoring Apache Airflow 9. Security in Apache Airflow 10. Airflow 2.0 11. BONUS - APPENDIX
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