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所在平台: Udemy |
课程主页: https://www.udemy.com/course/dp-203-microsoft-certified-data-engineer-associate-tests/
课程评论：没有评论
**课程名称：** DP 203: Microsoft Certified Data Engineer Associate 认证考试 **课程概述：** 本课程旨在以最简单易懂的方式帮助学员掌握 DP 203 认证考试所需的知识和技能。课程题目与实际考试题目高度相似，通过深入学习所有课程内容，学员有望在考试中取得 90% 以上的高分。讲师将全程提供指导和支持。 **目标受众：** 本认证的候选人应具备整合、转换和汇集来自各种结构化、非结构化和流式数据系统的数据，并将其构建成适合分析解决方案的模式的主题领域专业知识。 **Azure 数据工程师角色：** 作为 Azure 数据工程师，您将帮助利益相关者通过数据探索来理解数据，并利用各种工具和技术构建和维护安全合规的数据处理管道。您将使用各种 Azure 数据服务和框架，根据业务需求，以不同的架构模式（包括现代数据仓库 (MDW)、大数据和 Lakehouse 架构）来存储和生成经过清洗和增强的数据集以供分析。此外，您还将确保数据管道和数据存储在满足业务需求和约束的前提下，实现高性能、高效率、有组织且可靠的运行。您将负责识别和排除操作以及数据质量问题，并设计、实现、监控和优化数据平台以满足数据管道的需求。 **必备知识和技能：** * **数据处理语言：** SQL、Python、Scala * **核心概念：** 并行处理、数据架构模式 * **Azure 服务和工具：** * Azure Data Factory * Azure Synapse Analytics * Azure Stream Analytics * Azure Event Hubs * Azure Data Lake Storage * Azure Databricks **学习目标：** * 设计和实现 Azure 数据存储 * 设计和开发 Azure 数据处理 * 设计和实现 Azure 数据安全 * 监控和优化 Azure 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 certification, you should have subject matter expertise in integrating, transforming, and consolidating data from various structured, unstructured, and streaming data systems into a suitable schema for building analytics solutions.As an Azure data engineer, you help stakeholders understand the data through exploration, and build and maintain secure and compliant data processing pipelines by using different tools and techniques. You use various Azure data services and frameworks to store and produce cleansed and enhanced datasets for analysis. This data store can be designed with different architecture patterns based on business requirements, including:Modern data warehouse (MDW)Big dataLakehouse architectureAs 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:Azure Data FactoryAzure Synapse AnalyticsAzure Stream AnalyticsAzure Event HubsAzure Data Lake StorageAzure DatabricksLearning ObjectivesDesign and implement data storage on AzureDesign and develop data processing on AzureDesign and implement data security on AzureMonitor and optimize data storage and data processing on Azure
