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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-engineering-on-microsoft-azure/
课程评论：没有评论
**Microsoft Azure 数据工程（DP-203）课程摘要** 本课程旨在帮助学员备考“Microsoft Certified: Azure Data Engineer Associate”认证，并涵盖DP-203考试所需的知识点。课程已于2024年5月更新至v3.0版本，所有章节均已重录，以反映Azure平台上最新的服务变更和课程目标调整。2023年5月发布的v2.0版本也进行了更新，并增加了练习测试题目。 **核心学习目标：** * **设计和实现数据存储（40-45%）：** 深入了解Azure数据湖存储Gen2等关键服务，以及如何有效设计和部署数据存储解决方案。 * **设计和开发数据处理（25-30%）：** 学习如何构建ETL管道（使用Azure Data Factory和映射数据流）、使用Azure Synapse（包括专用SQL池的数据仓库构建）以及利用Apache Spark和Scala在Azure Databricks中进行数据处理和流式数据处理。 * **设计和实现数据安全（10-15%）：** 掌握在Azure数据工程环境中应考虑的安全措施。 * **监控和优化数据存储与数据处理（10-15%）：** 学习监控和优化Azure数据服务性能的关键技术。 **课程重点内容：** * Azure Data Lake Storage Gen2 的用途。 * Transact-SQL 命令基础。 * **Azure Synapse：** 构建数据仓库（使用专用SQL池）。 * **Azure Data Factory：** 构建ETL管道，包括创建映射数据流的多种场景。 * **Azure Stream Analytics：** 使用SQL命令处理流式数据。 * **Apache Spark 和 Scala：** Scala编程语言基础；在Azure Databricks中应用Spark和Scala，包括使用Notebooks和流式数据处理。 * Azure数据服务相关的安全措施和监控方面。
Release v3.0 - May 2024The entire course has been updated and refreshed. All chapters have been re-recorded. This has been done to ensure that all contents now reflect the most recent changes to the services on the Azure platform. All course contents have also been aligned as per any changes to the course objectives.Release v2.0 - May 2023The entire course has been updated and refreshed. All chapters have been re-recorded. This has been done to ensure that all contents now reflect the most recent changes to the services on the Azure platform. All course contents have also been aligned as per any changes to the course objectives.Additional questions have been also added to the Practice Tests.Release v1.0 Initial ReleaseThis course is designed for students who want to attain the "Microsoft Certified: Azure Data Engineer Associate" certificationThis course has contents for the Exam DP-203The objectives covered in this course areDesign and implement data storage (40-45%)Design and develop data processing (25-30%)Design and implement data security (10-15%)Monitor and optimize data storage and data processing (10-15%)In this course students will learn about the various Azure services that pertain to Data Engineering. Few of the important aspects that students will learn along the way includes the followingWhat is the purpose of an Azure Data Lake Gen 2 storage accountBasics on Transact-SQL commandsHow to work with Azure Synapse. This will include building a data warehouse into a dedicated SQL Pool.How to build an ETL pipeline with the help of Azure Data Factory. There will be various scenarios on how to create mapping data flows.How to stream data with the use of Azure Stream Analytics. You can see how SQL commands can be used for your streaming data.Basics on the Scala programming language, and SPARKHow to work with SPARK, Scala in Azure Databricks. We will see how to work with Notebooks. We will also see how to stream data into Azure Databricks.The different security measures and monitoring aspects to consider when working with Azure services
