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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-warehouse-architecture-series-1/
课程评论：没有评论
课程名称：数据仓库架构 - 系列 1 课程概述：本课程旨在帮助学员了解在新的或现有的数据仓库实施项目中，关键的架构元素、设计选择和考虑因素，以便为业务增添最大价值，并降低数据仓库的后续维护成本。课程内容不依赖于特定平台，适用于任何仓库环境，包括云托管或本地部署，同时这些概念也适用于任何实现所使用的技术栈（如Microsoft、Oracle等）。虽然课程本质上是技术性的，但所有主题都保持在高层次上。课程旨在为参与数据仓库项目的个人提供价值，这些角色可能包括：分析项目的项目经理、数据仓库的产品/系统负责人（业务或技术）、解决方案架构师、仓库开发人员、系统工程师/集成商。 课程内容包括： - 业务价值的关键驱动因素 - 暂存区设计概念及操作数据存储（ODS）概念 - ETL（提取、转换、加载）过程的考虑 - 指标、度量和KPI（关键绩效指标）考量 - 环境架构考虑因素 - 信息安全和治理结构 - 数据从源系统到仓库的各种传输方法及其优缺点 课程还将建立业务需求的基线，并为仓库组件的正当化提供依据，这些内容将用于记录和详细说明您的工作。
Learn the key architectural elements, design choices, and considerations to be factored into a new or existing Data Warehouse implementation project, with the goal of adding the most value for the business, and reducing the downstream maintenance costs of the Warehouse.The discussions in this course are platform agnostic, and apply to any Warehouse Environment, either Cloud-hosted or On-premise, and the concepts can be applied to any stack that is used for implementation (i.e. Microsoft, Oracle, etc.). This course is technical in nature, however all topics are kept at a high level. This course is meant to provide value for individuals involved in a Data Warehouse project, whose roles may be one or more of the following:Program Manager over an Analytics ProgramProduct/System Owner (either Business or Technical) for a Data WarehouseSolutions ArchitectWarehouse DeveloperSystems Engineer/IntegratorIn this course, we will cover:Key drivers for Business ValueStaging area design concepts, and the Operational Data Store conceptETL process considerationsMetrics, Measure and KPI ConsiderationsEnvironmental Architecture ConsiderationsInformation Security and Governance structures. The various methods of data transmission from source systems to the warehouse, as well as their benefits and drawbacks. Along the way, we will form a baseline for business requirements and a justification for warehouse components that can be used to document and detail your efforts.
