The capstone course, Design and Build a Data Warehouse for Business Intelligence Implementation, features a real-world case study that integrates your learning across all courses in the specialization. In response to business requirements presented in a case study, you’ll design and build a small data warehouse, create data integration workflows to refresh the warehouse, write SQL statements to support analytical and summary query requirements, and use the MicroStrategy business intelligence platform to create dashboards and visualizations. In the first part of the capstone course, you’ll be introduced to a medium-sized firm, learning about their data warehouse and business intelligence requirements and existing data sources. You’ll first architect a warehouse schema and dimensional model for a small data warehouse. You’ll then create data integration workflows using Pentaho Data Integration to refresh your data warehouse. Next, you’ll write SQL statements for analytical query requirements and create materialized views to support summary data management. Finally, you will use MicroStrategy OLAP capabilities to gain insights into your data warehouse. In the completed project, you’ll have built a small data warehouse containing a schema design, data integration workflows, analytical queries, materialized views, dashboards and visualizations that you’ll be proud to show to your current and prospective employers.
提供方
教學大綱 - 您將從這門課程中學到什麼
Course Overview
Module 1 introduces the objectives and topics in the course and provides background on the case and software requirements. The capstone course is organized around a realistic case study based on the business situation faced by CPI Card Group in 2015.
Data Warehouse Design
Module 2 presents the requirements of the first part of the case study involving data warehouse design. To provide a context for the case study, you can listen to an executive interview with a CPI Card Group executive.
Data Integration
Module 3 presents requirements for the second part of the case study involving data integration. To provide a context for the case study, you can listen to executive interviews with executives from CPI Card Group, First Bank, and Pinnacol Assurance.
Analytical Queries and Summary Data Management
Module 4 presents requirements for the third part of the case study involving analytical queries and summary data management.
來自设计和开发数据仓库来实现商业智能的熱門評論
Awesome content ,very well drafted and explained course content. I am thankful to the coursera team, who has discovered such kind of really good course and specialization.
Excellent contemporary course content and hands on course. Recommended for everyone who wants start or change into exciting career in DWBI.
講師
Michael Mannino
Associate Professor
Jahangir Karimi
Professor關於 科罗拉多大学系统
關於 面向商业智能的数据仓库 專項課程
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