|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/dp-700-microsoft-fabric-data-engineer-associate-test-series/
课程评论：没有评论
**DP-700 Microsoft Fabric 数据工程师关联测试系列课程总结** 本课程旨在以最简洁易懂的方式帮助您掌握 Microsoft Fabric 数据工程师关联认证所需知识。课程题目贴近实际考试，但为获得更好成绩，建议仔细阅读所有描述。讲师将随时提供指导。 **目标考生：** * 具备数据加载模式、数据架构和编排流程的专业知识。 * 负责以下工作： * 数据摄取与转换。 * 分析解决方案的安全与管理。 * 分析解决方案的监控与优化。 * 与分析工程师、架构师、分析师和管理员密切合作，设计和部署用于分析的数据工程解决方案。 **必备技能：** * 熟练使用 SQL、PySpark 和 Kusto 查询语言 (KQL) 来处理和转换数据。 * 熟悉 Azure 数据工程师职责，包括操作高性能、高效、有条理且可靠的数据管道和数据存储，以满足业务需求和约束。 * 能够识别和解决操作及数据质量问题。 * 能够设计、实现、监控和优化数据平台以满足数据管道需求。 **认证要求：** * 扎实掌握数据处理语言，包括 SQL、Python 和 Scala。 * 理解并行处理和数据架构模式。 * 熟练运用相关技能创建数据处理解决方案。 **考试衡量点：** * 实现和管理分析解决方案。 * 摄取和转换数据。 * 监控和优化分析解决方案。 **学习目标：** * 设计和实现 Azure Fabric 中的数据存储。 * 设计和开发 Azure Fabric 中的数据处理。 * 设计和实现 Azure Fabric 中的数据安全。 * 监控和优化 Azure Fabric 中的数据存储和数据处理。
The course is constructed in the simplest way for a person to understand easily.The course questions is similar to the actual questions in the exam but surely read through all the description to score more than 90%.Will be always available to guide.Lets start,As a candidate for this exam, you should have subject matter expertise with data loading patterns, data architectures, and orchestration processes. Your responsibilities for this role include:Ingesting and transforming data.Securing and managing an analytics solution.Monitoring and optimizing an analytics solution.You work closely with analytics engineers, architects, analysts, and administrators to design and deploy data engineering solutions for analytics.You should be skilled at manipulating and transforming data by using Structured Query Language (SQL), PySpark, and Kusto Query Language (KQL).As an Azure data engineer, you also help to ensure that the operationalization of data pipelines and data stores are high-performing, efficient, organized, and reliable, given a set of business requirements and constraints. You help to identify and troubleshoot operational and data quality issues. You also design, implement, monitor, and optimize data platforms to meet the data pipelines.As a candidate for this certification, you must have solid knowledge of data processing languages, including:SQLPythonScalaYou need to understand parallel processing and data architecture patterns. You should be proficient in using the following to create data processing solutions:Skills measured Implement and manage an analytics solution Ingest and transform data Monitor and optimize an analytics solutionLearning ObjectivesDesign and implement data storage on Azure FabricDesign and develop data processing on Azure FabricDesign and implement data security on Azure FabricMonitor and optimize data storage and data processing on Azure Fabric
