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课程主页: https://www.udemy.com/course/ritz-c_ds_42/
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课程名称：C_DS_42: 使用 SAP Data Services 4.2 进行数据集成 课程概述：SAP 认证应用协理 - 使用 SAP Data Services 4.2 进行数据集成的认证考试，验证候选人在实施 ETL 项目、管理和掌控项目方面的成熟技术和基础知识。此考试将评估考生对 SAP Data Services 的理解，包括数据集成概念，测试考生的性能优化、设计复杂方法、数据转换、故障排除和恢复等必备技能。 课程主题包括但不限于以下几方面： 1. 数据管理（> 12%）：管理资料库、设置数据存储、使用数据服务管理控制台、安装和配置数据服务、设定文件格式、调度作业、管理数据服务中的安全性以及使用数据服务工作台。 2. 性能优化设计（> 12%）：优化数据流性能、衡量性能、使用并行处理、推动操作以及在作业服务器之间分配数据流执行；配置批量加载器。 3. 基础数据转换（> 12%）：使用目标表选项、内置函数、平台、验证及查询转换、创建批处理作业，并描述数据服务对象的层次关系及操作代码。 4. 恢复和故障排除（> 12%）：设计恢复流程、故障排除/测试作业、应用错误处理、解释跟踪日志并使用交互式调试器。 5. 复杂设计方法论（8% - 12%）：设计工作流中的相互依存关系，利用工作流控制作业执行，并实施数据存储和系统配置。 6. 高级数据转换（8% - 12%）：应用数据集成转换、审核数据流、使用脚本和嵌入式数据流。 7. 数据集成概念（< 8%）：描述 ETL 项目指南、实时处理以及在数据服务中对数据进行分析。 8. 变更数据捕获（< 8%）：比较增量加载方法，并实现基于源的变更数据捕获和基于目标的变更数据捕获。 此课程将为学员提供所有必备知识，帮助其成功通过 SAP Data Services 4.2 的认证考试。
The SAP Certified Application Associate - Data Integration with SAP Data Services 4.2 certification exam verifies that the candidate possesses proven skills and fundamental knowledge in implementing ETL projects, administering and managing projects using SAP Data Services. This exam will measure the candidate's knowledge of SAP DataServices starting with understanding Data Integration concepts, and will test required skills in applying performance tuning and sizing methods, implementing complex design methodology, performing Data Transformation and troubleshooting and recovery.Topic AreasPlease see below the list of topics that may be covered within this certification and the courses that cover them. Its accuracy does not constitute a legitimate claim; SAP reserves the right to update the exam content (topics, items, weighting) at any time.Data Management > 12%Manage repositories, setup Data Stores and use the data services management console, install and configure data services, set up file formats, schedule jobs, manage Security in Data Services, and use Data Services Workbench.DS10 (DATA SERVICES 4.2 SP8)DS100 (DATA SERVICES 4.2 SP10)Performance Optimized Design > 12%Optimize data flow for performance and measure performance, use parallel processing, push down operations, and distribute Data Flow execution across Job Servers; configure Bulk Loaders.DS10 (DATA SERVICES 4.2 SP8)DS100 (DATA SERVICES 4.2 SP10)Additional InformationBasic Data Transformation > 12%Use Target table options, built-in functions, the platform, validation and Query transforms, create batch jobs, describe data services object hierarchy/relationship and operation codes.DS10 (DATA SERVICES 4.2 SP8)Recovery and Troubleshooting > 12%Design recovery, troubleshoot/test jobs, apply error handling, explain Trace logs, and use the interactive debugger.DS10 (DATA SERVICES 4.2 SP8)Complex Design Methodology 8% - 12%Design the interdependancies within a workflow, use workflows to control the execution of the job, and implement Datastore configurations and System Configurations.DS10 (DATA SERVICES 4.2 SP8)Advanced Data Transformation 8% - 12%Apply data integrator transforms, audit data flows, and use scripting and embedded Data Flows.DS10 (DATA SERVICES 4.2 SP8)Designer Guide (Tech.Manuals)Data Integration Concepts < 8%Describe ETL Project Guidelines, Real-Time processing, and profile data in Data Services.ETL Project GuidelinesRealtime at a GlanceChange Data Capture < 8%Compare Delta Load Methods, and implement source based Change Data Capture and target based Change Data Capture.DS10 (DATA SERVICES 4.2 SP8)Delta Load Implementation
