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所在平台: Udemy |
课程主页: https://www.udemy.com/course/apache-airflow-the-operators-guide/
课程评论：没有评论
[课程名称] Apache Airflow: The Operators Guide [课程概述] 本课程是为已了解Apache Airflow基础知识的学习者设计的进阶指南，专注于Airflow强大的Operator功能。Airflow拥有超过700个Operator和70种可交互工具，Operator是数据管道中的任务，代表了数据管道的操作和关键步骤。 本课程将帮助您： * 版本化您的DAGs。 * 正确地重试您的任务。 * 创建任务之间以及DAG Run之间的依赖关系。 * 理解`owner`参数的作用。 * 在任务失败时采取相应行动。 * 选择正确的DAG依赖创建方式。 * 在特定时间间隔内执行任务。 * 对任务进行分组，使DAG更清晰（不使用SubDAG）。 * 基于日历触发DAG。 * 以及更多。 **重要提示：** 本课程假定您已具备Airflow的基础知识，并将其视为您的Airflow Operator参考手册。如果您正在寻找的Operator尚未包含在内，您可以对此进行投票，讲师将根据您的需求制作视频。 如果您已掌握Airflow并准备好提升您的技能，请立即报名，将您的数据管道提升到新的高度。
Apache Airflow has more than 700 Operators and 70 tools it can interact with.It's huge! ? Operators are tasks in your data pipeline. They are important as they correspond to the actions of your data pipeline, to the different steps to produce the output you want.Now, Do you know well the Airflow's operators? Do you want to create reliable data pipelines? Are you looking for best practices around Operators?If yes, you've come to the right place!With the course Apache Airflow: The Operators Guide, will be able toVersion your DAGsRetry your tasks properlyCreate dependencies between your tasks and even your DAG RunsDemystifies the owner parameterTake actions if a task failsChoose the right way to create DAG dependenciesExecute a task only in a specific interval of timeGroup your tasks to make your DAG cleaner (not with SubDAG)Trigger your DAG based on a Calendarand much more!Warning! You must already know Airflow! Think of this course as your Airflow Operators Reference.The operator you are looking for is there?NOT YET!Vote for it, and I will make video in the month. You decide!So,If you already know Airflow and you're ready to step up! Enroll now and truly take your data pipelines to another level. ?
