Chevron Left
Data Warehouse Concepts, Design, and Data Integration に戻る

University of Colorado System による Data Warehouse Concepts, Design, and Data Integration の受講者のレビューおよびフィードバック

4.4
867件の評価
171件のレビュー

コースについて

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...

人気のレビュー

EK

Dec 16, 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.

MH

Dec 13, 2016

Good learning for Data integration and ETL learning. How data from source to target table transform over the business requirement to be ready for processing

フィルター:

Data Warehouse Concepts, Design, and Data Integration: 126 - 150 / 160 レビュー

by PUNEETH M K

Nov 04, 2019

It's a nice opportunity to learn and

by Shivam S

Jun 21, 2017

Nice Lectures Documentations Overall

by Vinay B

Jan 04, 2016

Great course to learn DWH concepts.

by vaibhav b

Dec 26, 2016

The course was very helpful

by Lin Y

May 26, 2016

useful information

by Mugdha G

Feb 25, 2019

Good course!

by Santosh R

Oct 06, 2016

Great course

by Dushyant S

Jan 18, 2019

Good course

by Jair F L M

Nov 30, 2018

Good course

by SARAGADAM N

Jul 26, 2017

excellent

by karthik D

Jan 23, 2019

good

by Jason L

May 07, 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.

by Dragana S

Nov 14, 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.

by Linda S

Oct 04, 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.

by Tom C

Mar 20, 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.

by srinivas

Mar 04, 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.

by Shalmoli N

Jun 08, 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

by Andy O

Jan 28, 2018

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

by Bruno A S I

Dec 28, 2017

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

by Odile M

Jan 14, 2016

Missing course material about how calculating fact table size ans sparsity

by Ravi

Feb 16, 2016

Good for Beginners to go for.

by Ian M

Dec 28, 2015

This course was full of issues related to the installation and use of Pentaho Pivot 4J and Data Integration. The professor's presence is resolving these issues was practically nonexistent. Coursera needs to do a much better job at insuring that their professors are offering a quality course and living up to the expectations of the students. In the case of this course and the professor, they failed miserably. In addition, it is practically impossible to get support from Coursera when an issue exists and in most cases when contact is made, the assistance is minimal. It is a shame as the platform is nicely designed and the course topics are very interesting. If you are considering taking this course, be forewarned that the majority of the support of problems/issues come from the community, not the Professor or Coursera. In addition, you are required to grade the assignments of your fellow students. This is not done by the professor.

by Sylvain L

Mar 09, 2016

Not enough implication from the instructors in the course. Students are left alone with the material, without any answers to there questions on the course.

Peer review process subject to personal interpretation and leading to frustration for the students.

That's quite unfortunate as this provides a bad experience whereas the course might have been good without that.

by Danielle B

Feb 07, 2019

The course is very informative, but you have to work with a very slow website for an assignment and you need to install applications which are a lot of hassle and will cost you a lot of time. I still cannot get an application to work to finish the last assignment. Too bad for all the effort I put in so far and very frustrating.

by David R

Apr 02, 2016

The course lectures were too sparse leading up to the final, very important assignment of learning to how to create an ETL package. More time and energy should have been spent on the technical aspects of the Pentaho Spoon program, rather than doing overviews of application pros and cons.