|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/sap-datasphere-end-to-end-handson-from-realtime-expert/
课程评论：没有评论
课程名称：SAP Datasphere 从零到精通的实践课程 课程概述： 本课程介绍了SAP Datasphere及其开放数据生态系统，这为业务数据架构奠定了基础，使任何组织都能为每个数据消费者提供有意义的数据，确保业务上下文和逻辑的完整性。SAP Datasphere是SAP推出的现代云数据仓库产品。本课程最新更新了SAP Datasphere的相关内容，并通过简单的使用案例和示例数据集进行处理。 课程内容涵盖： - SAP Datasphere的概述，包括架构和解决方案的采用 - 主要特性与功能、治理、系统设置 - 空间管理、数据共享、数据目录、数据市场 - 连接设置及示例数据导入 - IT角色的职能：数据构建者 - 商业角色的职能：业务构建者 - 数据构建者各方面及对象的实践演示 - 实践创建ETL数据流、图形视图、复制流和事务流 - 业务构建者的实践演示，包括消费模型、事实模型和业务实体 - 在SAP Analytics Cloud中的模型消费及报告构建 本课程实现了从数据采购到报告构建的全过程培训。学习者将能够通过自动重用SAP应用中的语义定义和关联来加速价值实现，丰富数据项目，将异构数据协调成业务语义模型，并简化数据环境，无论数据存放在哪里，都能在混合云环境中访问所有数据。 该课程适合希望深入了解SAP Datasphere并提高数据处理能力的专业人员。
SAP Datasphere and its open data ecosystem is the foundation for a business data fabric. It equips any organization to deliver meaningful data to every data consumer - with business context and logic intact.SAP Datasphere is modern cloud datawarehousing product from SAP.SAP Datasphere most recent course updates and explanation provided with a simple use case and sample data sets for processing.In this Course, we have covered,Overview of SAP Datasphere, Architecture, Solution AdoptionFeatures, Capabilities, Governance, System setupSpace Management, Data Sharing, Data Catalog, Data Market placeConnections setup, Importing a sample dataIT Persona's Role - Data BuilderBusiness Persona Role - Business BuilderHandson Demo of every aspects and objects of Data BuilderHandson Creation of ETL DataFlows, Graphical Views, Replication flows, Transational flows etc.,Handson Demo on Business Builder - Consumption Model, Fact Model, Business EntitiesConsumption of Model in SAP Analytics Cloud and building a storyEnd to End Training from Data Procurement to Report buildSAP Data sphere - Deliver meaningful data to every data professionalAccess authoritative data: Accelerate your time to value by automatically reusing the semantic definitions and associations from SAP applications.Enrich all data projects: Harmonize heterogeneous data into a business semantic model of your diverse data landscape.Simplify the data landscape: Access all your data across hybrid and cloud environments no matter where it resides.
