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Module 5 finishes the course with a return to conceptual material about physical design technologies and data governance practices. You will learn about storage architectures, scalable parallel processing, big data issues, and data governance. After this module, you will have background about conceptual issues important for data warehouse administrators.

关系数据库支持的数据仓库

科罗拉多大学系统

课程 3（共 5 门，面向商业智能的数据仓库专项课程）

Relational Database Support for Data Warehouses is the third course in the Data Warehousing for Business Intelligence specialization. In this course, you'll use analytical elements of SQL for answering business intelligence questions. You'll learn features of relational database management systems for managing summary data commonly used in business intelligence reporting. Because of the importance and difficulty of managing implementations of data warehouses, we'll also delve into storage architectures, scalable parallel processing, data governance, and big data impacts.

查看授课大纲

您将学习的技能

Data Warehousing, Materialized View, Data Warehouse, SQL

教学方

Michael Mannino
Associate Professor

脚本

You've done it.

You've completed the five modules of relational database support for

data warehouses.

You've learned exciting concepts and skills for business intelligence queries,

physical design of data warehouses, and administration of data warehouses.

These concepts and skills provide glue to connect relational databases and

DBMSs to data warehouses.

Your learning experience in this course is essential for

a career as a data warehouse or business intelligence professional.

You'll remember that this is the third course in our five course specialization

of data warehousing for business intelligence.

In course one, you obtained essential background on relational databases,

query formulation, and data modeling.

In course two, you learned basic concepts about data warehouses and developed

skills for designing data warehouses and creating data integration workflows.

With the third course, you've acquired a solid foundation for

the two remaining courses in the specialization.

In the next course, course four, you will learn skills and concepts for

business intelligence.

You will have an opportunity to understand usage of data warehouses

by business intelligence professionals.

And you'll practice building dashboards, reports, and visualizations.

These courses prepare you for the exciting conclusion of the specialization,

the integrative k study in the Capstone Course.

You will design a small data warehouse, create data integration workflows,

write business intelligence queries, and create reporting and visualization tools.

We think this stuff is cool and exciting.

We know we'll help you succeed in advancing your career, so

keep up the good work.

You can do it.

You will see Professor Karimi in course four, Business Intelligence Concepts,

Tools, and Applications.

I will see you again in the Capstone Course, so I am not yet saying goodbye.

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