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所在平台: Udemy |
课程主页: https://www.udemy.com/course/dp-900-microsoft-azure-data-fundamentals-certification/
课程评论：没有评论
课程名称：DP-900：微软Azure数据基础认证 课程概述： DP-900：微软Azure数据基础认证课程是您了解核心数据概念及其在微软Azure中应用的入门课程。无论您是云数据新手还是准备参加DP-900考试，本课程提供了关系型和非关系型数据库、现代数据仓库以及使用Azure工具进行数据可视化的深入概述。通过实践演示和引人入胜的讲座，学生将培养在Azure中有效管理和分析数据的基本技能。 课程内容： 第一部分：介绍 启动您的学习旅程，介绍课程结构、目标及DP-900考试要求。这部分为探索Azure中的数据概念奠定基础。 第二部分：核心概念 学生将深入了解数据表示、存储选项和常见应用负载的基础知识，强调管理数据工作负载的角色和责任，使学生能够识别关键数据使用场景。 第三部分：关系型数据库概念 探讨关系型数据库的核心原理，包括规范化、关系数据特性和SQL操作。通过实际演示，学习创建数据库、视图、存储过程和索引，这些都是关系型数据库管理的基本技能。 第四部分：Azure关系型数据服务 介绍Azure的关系型数据库选项，使学生了解这些服务如何支持结构化数据，并学习如何为特定工作负载选择合适的服务。 第五部分：Azure中的关系型数据库 学习如何使用ARM模板和关系查询工具创建、管理和保护Azure SQL数据库。关注安全最佳实践和工具，以简化Azure中的数据库操作。 第六部分：非关系型数据库概念 非关系型数据库在处理非结构化或半结构化数据方面至关重要。学生将探索不同类型的NoSQL数据库，并了解Azure的非关系型数据库产品。 第七部分：管理非关系型数据库 提供关于如何创建、查询和管理Cosmos DB的实践培训，讨论安全性、地理复制和ARM模板集成以实现高效管理。 第八部分：数据可视化 学习如何通过数据可视化工具（如Azure Data Factory和Power BI）将原始数据转化为可操作的洞察。本部分涵盖现代数据仓库技术和Power BI内容工作流，以创建引人注目的仪表板。 第九部分：结论 课程以关键要点总结结束，确保学生对自己的知识和技能充满信心。最后的见解帮助他们顺利通过DP-900考试，并在实际场景中应用所学知识。 通过本课程，学生将全面了解数据基础知识和Azure数据服务，做好参加DP-900认证考试的准备，并开始在Azure生态系统中管理数据的旅程。
IntroductionThe DP-900: Microsoft Azure Data Fundamentals Certification course is your gateway to understanding core data concepts and their application in Microsoft Azure. Whether you're new to cloud data or preparing for the DP-900 exam, this course provides an in-depth overview of relational and non-relational databases, modern data warehousing, and data visualization using Azure tools. Through practical demos and engaging lectures, students will develop essential skills to manage and analyze data effectively in Azure.Section 1: IntroductionKickstart your learning journey with an introduction to the course, where you'll gain a clear understanding of its structure, objectives, and the requirements for the DP-900 exam. This section sets the foundation for exploring data concepts in Azure.Section 2: Core ConceptsIn this section, students delve into the fundamentals of data representation, storage options, and common workloads. It also emphasizes the roles and responsibilities associated with managing data workloads, equipping students with the knowledge to identify key data use cases.Section 3: Relational Database ConceptsExplore the core principles of relational databases, including normalization, relational data features, and SQL operations. Hands-on demos demonstrate how to create a database, views, stored procedures, and indexes, offering practical skills essential for relational database management.Section 4: Relational Azure Data ServicesThis section introduces Azure's relational database options. Students will gain insights into how these services support structured data and learn to choose the appropriate service for specific workloads.Section 5: Relational Databases on AzureDiscover how to create, manage, and secure Azure SQL Databases using ARM templates and relational query tools. This section focuses on security best practices and tools to streamline database operations in Azure.Section 6: Non-Relational Database ConceptsNon-relational databases are critical for handling unstructured or semi-structured data. Students will explore different types of NoSQL databases and learn about Azure's non-relational database offerings.Section 7: Managing Non-Relational DatabasesThis section provides hands-on training in creating, querying, and managing Cosmos DB, one of Azure's key non-relational databases. Topics include security, geo-replication, and ARM template integration for efficient management.Section 8: Data VisualizationLearn how to transform raw data into actionable insights through data visualization tools like Azure Data Factory and Power BI. This section covers modern data warehousing techniques and the Power BI content workflow for creating compelling dashboards.Section 9: ConclusionThe course concludes with a summary of the key takeaways, ensuring students feel confident in their knowledge and skills. Final insights prepare them to ace the DP-900 exam and apply their learning in real-world scenarios.By the end of this course, students will have a solid understanding of data fundamentals and Azure data services. They will be prepared to take the DP-900 certification exam and start their journey toward becoming proficient in managing data in the Azure ecosystem.
