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所在平台: Udemy |
课程主页: https://www.udemy.com/course/microsoft-dp-203-certified-azure-data-engineer-associate/
课程评论：没有评论
**课程名称：Microsoft DP-203 认证：Azure 数据工程师助理** **课程概述：** 本课程专为 aspiring "Microsoft Certified: Azure Data Engineer Associate" 认证的学员设计，内容全面，与 DP-203 考试高度契合。课程旨在帮助学员掌握 Azure 数据工程的核心技能，重点关注以下三大领域： * **设计和实施数据存储 (15-20%)** * **开发数据处理 (40-45%)** * **保护、监控和优化数据存储及数据处理 (30-35%)** **课程结构与内容：** 课程内容循序渐进，结构清晰，涵盖以下主题： 1. **引言与环境准备：** 课程概览及初始环境设置。 2. **数据存储设计与实施：** * Azure Data Lake：理解和实现 Azure Data Lake 数据存储。 * Azure SQL Server：设计 Azure SQL Server 存储解决方案。 * Cosmos DB：探索 Cosmos DB 的存储能力。 * Azure Synapse Analytics：构建和管理 Azure Synapse Analytics 的存储。 3. **数据处理开发：** * Azure Synapse Spark Pool：利用 Azure Synapse 的 Spark 池进行数据处理。 * Azure Data Factory：开发 Azure Data Factory 中的 ETL 管道和数据流。 * Azure Databricks：使用 Azure Databricks 实现数据处理工作流。 * Azure Event Hubs：利用 Azure Event Hubs 进行实时数据流处理。 * Azure Stream Analytics：通过类 SQL 查询进行实时数据流处理。 4. **数据安全：** * Azure Data Lake 安全：实施 Azure Data Lake 的安全最佳实践。 * Azure Synapse Analytics 安全：保护 Azure Synapse Analytics 中的数据。 * Azure Data Factory 和 Databricks 安全：确保 Azure Data Factory 和 Databricks 工作流的安全性。 5. **监控与优化：** * Azure Data Lake Storage：监控和优化存储性能。 * Azure Data Factory：通过监控工具确保高效运行。 * Azure Synapse Analytics：对分析工作负载进行性能调优和监控。 * Azure Stream Analytics 和 Cosmos DB：优化数据流和数据库操作。 * Microsoft Purview 数据治理：利用 Microsoft Purview 进行数据管理和治理。 6. **考试准备：** * 提供 500 道练习题，帮助考生巩固知识，为认证考试做好准备。
This course is ideal for students aspiring to achieve the "Microsoft Certified: Azure Data Engineer Associate" certification.It includes comprehensive content aligned with the DP-203 exam.The course objectives focus on the following areas:Design and implement data storage (15-20%)Develop data processing (40-45%)Secure, monitor, and optimize data storage and data processing (30-35%)This Course structure organizes the course into a logical progression while providing a clear breakdown of the covered topics. Here's is the structured outline of the course sections:1. Introduction and SetupOverview of the course and initial setup.2. Design and Implement Data StorageAzure Data Lake: Understanding and implementing data storage with Azure Data Lake.Azure SQL Server: Designing storage solutions using Azure SQL Server.Cosmos DB: Exploring storage capabilities with Cosmos DB.Azure Synapse Analytics: Building and managing storage in Azure Synapse Analytics.3. Develop Data ProcessingAzure Synapse Spark Pool: Leveraging Spark pools in Azure Synapse for data processing.Azure Data Factory: Developing ETL pipelines and data flows in Azure Data Factory.Azure Databricks: Implementing data processing workflows with Azure Databricks.Azure Event Hubs: Streaming and processing real-time data using Azure Event Hubs.Azure Stream Analytics: Real-time data stream processing with SQL-based queries.4. Secure Your DataAzure Data Lake Security: Implementing security best practices for Azure Data Lake.Azure Synapse Analytics Security: Securing data in Azure Synapse Analytics.Azure Data Factory and Databricks Security: Ensuring secure data workflows in Azure Data Factory and Databricks.4. Monitor and OptimizeAzure Data Lake Storage: Monitoring and optimizing storage performance.Azure Data Factory: Ensuring efficient operations with monitoring tools.Azure Synapse Analytics: Performance tuning and monitoring analytics workloads.Azure Stream Analytics and Cosmos DB: Streamlining data streams and database operations.Data Governance with Microsoft Purview: Managing and governing data using Microsoft Purview.5. Exam PreparationPast Papers and Practice: Access to 500 exam questions to solidify knowledge and prepare for certification.
