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Deploy Workloads with Lakeflow Jobs - Mandarin Chinese

《使用 Lakeflow Jobs 部署工作负载》课程讲授如何在 Databricks 生态系统中,以 Lakeflow Jobs 作为统一编排平台,对数据、分析及 AI 工作流进行编排与自动化。

• 您将学习如何使用有向 Acyclic 图(DAG)设计并实现数据工作负载、配置各种调度选项,以及实现高级工作流功能,例如条件任务执行、run-if 依赖关系和 for each 循环。

• 本课程涵盖创建健壮、可投入生产的流水线的最佳实践,包括合理的 compute 选择、模块化编排、错误处理技术以及容错设计——所有这些均原生集成于 Databricks Data Intelligence Platform 之中。


注意:对于 SCORM 课程文件,请确保完成内容后关闭 SCORM 窗口。请勿点击“下一课”按钮,否则可能导致 SCORM 模块无法标记为已完成。

Skill Level
Associate
Duration
2h
Prerequisites

• 完成课程"Get Started with Databricks for Data Engineering",或对 Databricks Data Intelligence Platform 有扎实的了解

• 对以下主题有基本了解:浏览 Databricks 工作区、Apache Spark、Delta Lake、金银铜架构以及 Unity Catalog。

• 熟悉 Python/PySpark

• 具备编写中级 SQL 查询的经验。

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