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所在平台: Udemy |
课程主页: https://www.udemy.com/course/microsoft-azure-data-fundamentals-dp-900-exam-prep/
课程评论：没有评论
课程名称：微软Azure数据基础（DP-900）考试准备2024 课程概述： 欢迎来到Udemy的微软Azure数据基础（DP-900）认证课程！本课程旨在为学习者提供在Azure云环境中处理数据所需的基础知识和技能。无论您是数据科学的新手，还是希望扩展云数据服务专业知识的人员，这门课程都提供了坚实的核心数据概念基础，以及Azure数据服务的实际应用。 课程内容： 在本课程中，您将深入了解云中的数据基础知识，从核心数据概念开始，逐步学习Azure上的关系数据和非关系数据，以及分析工作负载。通过本课程，您将全面了解数据存储选项、数据库类型、常见数据工作负载和关键数据角色的职责。您还将学习如何在Azure上处理关系和非关系数据，包括Azure的SQL产品系列、Azure存储解决方案、Azure Cosmos DB以及用于数据仓库和分析的Azure服务。 模块细分： 1. 描述核心数据概念（25-30%） - 理解数据表示和结构化、半结构化和非结构化数据的特征。 - 识别数据存储选项、常见数据文件格式和数据库类型。 - 探索事务和分析工作负载，包括数据库管理员、数据工程师和数据分析师的角色和责任。 2. 确定Azure上关系数据的考虑因素（20-25%） - 关系概念的基础知识和关系数据的特征。 - 规范化的重要性和常用SQL语句。 - 关系Azure数据服务概述，包括Azure SQL数据库、Azure SQL受管实例和在Azure虚拟机上的SQL Server。 - 开源系统的Azure数据库服务。 3. 描述在Azure上处理非关系数据的考虑因素（15-20%） - Azure存储解决方案的能力：Blob存储、文件存储和表存储。 - Azure Cosmos DB简介，包括其API和使用案例。 4. 描述Azure上的分析工作负载（25-30%） - 大规模分析、数据摄取和处理的关键要素。 - 分析数据存储选项及Azure的数据仓库和分析服务。 - 实时数据分析、批处理与流数据之间的对比，以及用于实时分析的云服务。 - 使用Microsoft Power BI进行数据可视化，包括数据模型特性和可视化类型。 课程特点： - 从具有实际经验的行业专业人士那里学习。 - 在实时Azure环境中动手实践，应用所学知识。 - 通过测验和作业强化知识。 - 自由学习进度，终身访问课程材料。 - 针对性内容和模拟考试，充分准备微软Azure数据基础（DP-900）考试。 适合对象： - 对Azure数据基础感兴趣的初学者。 - 希望扩展云数据服务知识的IT专业人士。 - 希望借助Azure工具增强专业技能的数据分析师、工程师和管理员。
Microsoft Azure Data Fundamentals (DP-900) Certification CourseWelcome to the Microsoft Azure Data Fundamentals (DP-900) certification course on Udemy! This comprehensive course is designed to equip learners with the foundational knowledge and skills required to work with data in the Azure cloud environment. Whether you're new to data science or looking to expand your expertise in cloud-based data services, this course provides a solid foundation in core data concepts and the practical application of Azure data services.Course OverviewThroughout this course, you will delve into the essentials of data in the cloud, starting with core data concepts and progressing through relational and non-relational data on Azure, to analytics workloads. By the end of this course, you will have a thorough understanding of the options for data storage, the types of databases, common data workloads, and the responsibilities of key data roles. You will also gain insights into working with both relational and non-relational data on Azure, including Azure's SQL family products, Azure storage solutions, Azure Cosmos DB, and Azure services for data warehousing and analytics.Module BreakdownDescribe Core Data Concepts (25-30%)- Understanding data representation and the features of structured, semi-structured, and unstructured data.- Identifying data storage options, common data file formats, and database types.- Exploring transactional and analytical workloads, including roles and responsibilities of database administrators, data engineers, and data analysts.Identify Considerations for Relational Data on Azure (20-25%)- Fundamentals of relational concepts and features of relational data.- The importance of normalization and common SQL statements.- Overview of relational Azure data services, including Azure SQL Database, Azure SQL Managed Instance, and SQL Server on Azure VMs.- Azure database services for open-source systems.Describe Considerations for Working with Non-Relational Data on Azure (15-20%)- Capabilities of Azure storage solutions: Blob storage, File storage, and Table storage.- Introduction to Azure Cosmos DB, including its APIs and use cases.Describe an Analytics Workload on Azure (25-30%)- Key elements of large-scale analytics, data ingestion, and processing.- Analytical data store options and Azure services for data warehousing and analytics.- Real-time data analytics, batch vs. streaming data, and cloud services for real-time analytics.- Data visualization with Microsoft Power BI, including data model features and visualization types.Course Features- Learn from industry professionals with real-world experience in Azure data services.- Apply what you learn with hands-on projects in a live Azure environment.- Reinforce your knowledge through quizzes and assignments.- Study at your own pace, with lifetime access to course materials.- Prepare thoroughly for the Microsoft Azure Data Fundamentals (DP-900) exam with targeted content and practice exams.Who Should Enroll?- Beginners interested in learning about data fundamentals on Azure.- IT professionals seeking to expand their knowledge in cloud data services.- Data analysts, engineers, and administrators aiming to enhance their expertise with Azure tools.
