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所在平台: Udemy |
课程主页: https://www.udemy.com/course/build-data-engineering-pipelines-with-azure-data-factory/
课程评论：没有评论
课程名称：Azure Data Factory 数据工程实战 课程概述： 本课程专注于当前市场上最受欢迎的数据工程工具之一——Azure Data Factory。随着云端数据集成服务需求的激增，掌握Azure Data Factory和Microsoft Fabric等服务的专业人士的需求也在迅速增加。通过学习这些应用，用户可以提升自身技能，并提高在数据工程和分析领域的就业机会。 在本课程中，您将主要使用Microsoft Azure上的Azure Data Factory和Microsoft Fabric，同时还会涉及Azure Blob Storage、Azure Data Lake Storage Gen 2和Azure SQL Database等其他服务。课程内容包括讲座、代码演示视频和专门的课堂项目。此外，您还将获得终身访问所有讲座的权限。 课程将涵盖以下主题： - Azure存储解决方案，如Azure Blob Storage和Azure Data Lake Gen2 Storage - Azure Data Factory的基础知识，包括核心组件如连接服务、数据集、活动、数据流、管道和集成运行时 - 从各种文件格式（如CSV、JSON和Parquet）中集成数据 - Azure Data Factory中的复制活动 - Azure Data Factory中的数据流、控制流和转换活动 - 数据集成工作流的编排 - 创建计划和触发器以执行管道 - 如何在连接服务、数据集和管道中使用参数和变量 - 如何将Azure Data Factory与SQL数据库结合使用 - 身份验证与访问，包括托管身份、服务主体和Azure Key Vault - Microsoft Fabric中的数据工厂体验 - Azure DevOps源控制 - 持续集成和持续部署 通过本课程的学习，您将为数据工程领域打下坚实的基础，并为未来的职业发展做好充分准备。
I am pleased to present this course on one of the most in demand data engineering tools around.Azure Data Factory!As the demand for cloud-based data integration services continues to skyrocket, there is a huge demand for professionals with knowledge of services like Azure Data Factory and Microsoft Fabric. By learning these applications, users can enhance their skills and increase their job prospects in the field of data engineering and analytics.In this course you will primarily be using Azure Data Factory on Microsoft Azure and Microsoft Fabric in addition to other services such as Azure Blob Storage, Azure Data Lake Storage Gen 2 and Azure SQL Database.The course is packed with lectures, code-along videos and a dedicated course project. As an added benefit you will also have lifetime access to all of the lectures…This course will cover the following topics:Azure Storage Solutions such as Azure Blob Storage and Azure Data Lake Gen2 StorageThe basics of Azure Data Factory including the core components such as Linked Services, Datasets, Activities, Data Flows, Pipelines and Integration RuntimesIntegrating data from various file formats such as CSV, JSON and ParquetThe Copy Activity in Azure Data FactoryData Flows, Control Flow and Transformation Activities in Azure Data FactoryOrchestrating Data Integration WorkflowsHow to create Schedules and Triggers to execute your pipelinesHow to use Parameters and Variables with your Linked Services, Datasets and PipelinesHow to use Azure Data Factory with SQL DatabasesAuthentication and Access including Managed Identities, Service Principals and Azure Key VaultThe Data Factory Experience in Microsoft FabricAzure DevOps Source ControlContinuous Integration and Continuous Deployment
