Chevron Left
Zurück zu Data Warehouse Concepts, Design, and Data Integration

Bewertung und Feedback des Lernenden für Data Warehouse Concepts, Design, and Data Integration von University of Colorado System

1,006 Bewertungen

Über den Kurs

This is the second course in the Data Warehousing for Business Intelligence specialization. Ideally, the courses should be taken in sequence. In this course, you will learn exciting concepts and skills for designing data warehouses and creating data integration workflows. These are fundamental skills for data warehouse developers and administrators. You will have hands-on experience for data warehouse design and use open source products for manipulating pivot tables and creating data integration workflows. In the data integration assignment, you can use either Oracle, MySQL, or PostgreSQL databases. You will also gain conceptual background about maturity models, architectures, multidimensional models, and management practices, providing an organizational perspective about data warehouse development. If you are currently a business or information technology professional and want to become a data warehouse designer or administrator, this course will give you the knowledge and skills to do that. By the end of the course, you will have the design experience, software background, and organizational context that prepares you to succeed with data warehouse development projects. In this course, you will create data warehouse designs and data integration workflows that satisfy the business intelligence needs of organizations. When you’re done with this course, you’ll be able to: * Evaluate an organization for data warehouse maturity and business architecture alignment; * Create a data warehouse design and reflect on alternative design methodologies and design goals; * Create data integration workflows using prominent open source software; * Reflect on the role of change data, refresh constraints, refresh frequency trade-offs, and data quality goals in data integration process design; and * Perform operations on pivot tables to satisfy typical business analysis requests using prominent open source software...



9. Juni 2021

I liked the quality of lectures. Exceptional meterials to undrstand classic ETL/ELT process in a nutshell. I used this course to get basic knowledge on this thing before an interview.


18. Sep. 2020

Great course. It mimics real life case. However, the time required to complete assignments is much more than stated. The assignments are great though, I learned a lot from those.

Filtern nach:

151 - 175 von 197 Bewertungen für Data Warehouse Concepts, Design, and Data Integration

von Sai S G

21. Jan. 2016

von Paolo F

4. März 2018


4. Nov. 2019

von Shivam S

21. Juni 2017

von Vinay B

4. Jan. 2016

von MIRASOL, S R (

29. Okt. 2020

von vaibhav b

25. Dez. 2016

von Lin Y

26. Mai 2016

von Mugdha G

25. Feb. 2019

von Santosh R

6. Okt. 2016

von Dushyant S

18. Jan. 2019

von Jair F L M

30. Nov. 2018

von Nikhil n

26. Juli 2017

von Haripriya C

9. März 2022

von karthik D

23. Jan. 2019

von Nikos S

29. Mai 2022

von Minas-Marios V

17. Okt. 2020

von Jason L

7. Mai 2016

von Dragana S

13. Nov. 2017

von Linda S

4. Okt. 2016

von Tom C

19. März 2016

von srinivas

4. März 2016

von Shalmoli N

8. Juni 2020

von Automation L T

15. Juni 2022

von Andy O

28. Jan. 2018