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Avis et commentaires pour d'étudiants pour Data Warehouse Concepts, Design, and Data Integration par University of Colorado System

985 évaluations
200 avis

À propos du cours

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...

Meilleurs avis


18 sept. 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.


15 déc. 2015

Very nice class, well thought out and organized. The assignments are interesting and the practice assignments are relevant. Getting hands on on Pentaho was a big plus.

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151 - 175 sur 190 Avis pour Data Warehouse Concepts, Design, and Data Integration

par Shivam S

21 juin 2017

Nice Lectures Documentations Overall

par Vinay B

4 janv. 2016

Great course to learn DWH concepts.

par MIRASOL, S R (

29 oct. 2020

Hard course but was worth it.

par vaibhav b

25 déc. 2016

The course was very helpful

par Lin Y

26 mai 2016

useful information

par Mugdha G

25 févr. 2019

Good course!

par Santosh R

6 oct. 2016

Great course

par Dushyant S

18 janv. 2019

Good course

par Jair F L M

30 nov. 2018

Good course

par Nikhil n

26 juil. 2017


par Haripriya C

9 mars 2022


par karthik D

23 janv. 2019


par Minas-Marios V

17 oct. 2020

This course has plenty room for improvement. On one hand, it provides a good understanding of the different data warehousing architectures and design principles, an essential foundation to anyone interested in the field. The material on data integration is also excellent, along with the associated assignment. On the other hand, the peer-graded assignment on data warehousing design is very demanding and isn't clearly described from the lectures and practice problems what the students ought to do to get a perfect grade. Installing the software and getting it to work is also a skill on its own, but it truly is something that a professional will encounter in their work!

par Jason L

7 mai 2016

Pros: Information is perfect for anyone looking at Business Intelligence as a career field, or already in the career field itself. I found the first week to challenge my on-the-job knowledge of a fuller set of concepts and general terminology.

Cons: The wording on the quiz questions, in some cases, seems much different than the PPT slides and the instructor's language. UPDATE: The wording is a significant challenge, even when advancing into the more complex topics. I have had many differences of opinions on the solutions based on wording in the requirements.

par Dragana S

13 nov. 2017

Really short lessons, and usually half of lesson is spent on introduction and talking about what will be in the lesson. Nevertheless, course is focused on theory, rather than the practice. I think it should be more detailed and with more practical assignments.

par Linda S

4 oct. 2016

Well organized lectures but the documentation is full of errors. This in combination with the lack of response on the a lack of responsiveness on the forums might make this class frustrating for some.

par Tom C

19 mars 2016

This course needs a cleanup of loose ends on some of the assignments. Some assignment requirements are very ambiguous and in some cases the solutions are not matching the requirements of what was due.

par srinivas

4 mars 2016

Real world data warehouse integrations are more complex than just inner joining the tables to drop those rows not found in the original tables. i wish more complex scenarios are covered.

par Shalmoli N

8 juin 2020

Assignments are very good, in fact excellent, but the material could be a bit more descriptive. And the practice exercise of assignment 5 had lots of discrepancy with the actual

par Andy O

28 janv. 2018

Some good parts on data integration but the key sections on DW design and in particular the assignment are really poorly written.

par Rohan G L

19 mai 2021

Needs serious updates. A lot of good information, but assignments are thrown together, and instructions are often not clear.

par Bruno A S I

28 déc. 2017

It's a good course but it could improve the explanations provided in giving more detail and examples. Give deeper examples!!

par hatem e

29 nov. 2021

An introductory course, gives the very basics on the subject. Lacks in material and (available) references.

par Odile M

13 janv. 2016

Missing course material about how calculating fact table size ans sparsity

par Ravi

16 févr. 2016

Good for Beginners to go for.