Data Warehouse Architecture – Series 1

了解要纳入新的或现有数据仓库实施项目的关键架构元素、设计选择和注意事项，目标是为业务增加最大价值，并降低数据仓库的下游维护成本。课程与平台无关，适用于任何仓库环境，无论是云托管还是内部部署，这些概念可以应用于用于实施的任何堆栈（即 Microsoft、Oracle 等）。本课程本质上是技术性的，但是所有主题都保持在较高水平。本课程旨在为参与数据仓库项目的个人提供价值，他们的角色可能是以下一项或多项：分析程序的项目经理数据仓库解决方案架构师仓库开发人员系统工程师/集成商的产品/系统所有者（业务或技术）在本课程中，我们将涵盖：业务价值的关键驱动因素分期区域设计概念，以及操作数据存储概念ETL过程考虑因素指标，度量和 KPI 考虑因素环境架构考虑因素信息安全和治理结构。从源系统到仓库的各种数据传输方法，以及它们的优缺点。在此过程中，我们将形成业务需求的基线和仓库组件的理由，可用于证明和详细说明您的工作。业务价值的主要驱动因素暂存区设计概念和运营数据存储概念ETL 过程考虑因素指标、度量和 KPI 考虑因素环境架构考虑因素信息安全和治理结构。从源系统到仓库的各种数据传输方法，以及它们的优缺点。在此过程中，我们将形成业务需求的基线和仓库组件的理由，可用于证明和详细说明您的工作。业务价值的主要驱动因素暂存区设计概念和运营数据存储概念ETL 过程考虑因素指标、度量和 KPI 考虑因素环境架构考虑因素信息安全和治理结构。从源系统到仓库的各种数据传输方法，以及它们的优缺点。在此过程中，我们将形成业务需求的基线和仓库组件的理由，可用于证明和详细说明您的工作。从源系统到仓库的各种数据传输方法，以及它们的优缺点。在此过程中，我们将形成业务需求的基线和仓库组件的理由，可用于证明和详细说明您的工作。从源系统到仓库的各种数据传输方法，以及它们的优缺点。在此过程中，我们将形成业务需求的基线和仓库组件的理由，可用于证明和详细说明您的工作。

Key Architectural Considerations for Data Warehouse Implementation and Modernization Efforts

Published 11/2022
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 15 lectures (1h 42m) | Size: 1.45 GB

What you’ll learn

Key architectural concerns for Data Warehouse Implementation
Benefits of Operational Data Store implementation and key implementation steps
Information Security and Governance structures relating to data warehouses
High level technical concepts of warehouse implementations that will help drive project/program management decisions

Requirements

A basic working knowledge of Data Warehouses, their composition, and their uses.

Description

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 justify and detail your efforts.

Who this course is for
Project Managers
Product Owners (technical and business)
Data Warehouse Architects
Analytical Program Management