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Voltar para Conceitos, design e integração de dados em data warehouses

Comentários e feedback de alunos de Conceitos, design e integração de dados em data warehouses da instituição Sistema de Universidades do ColoradoUniversidade do Colorado

4.4
estrelas
967 classificações
195 avaliações

Sobre o curso

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...

Melhores avaliações

LS
18 de Set de 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.

EK
15 de Dez de 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 de 185 Avaliações para o Conceitos, design e integração de dados em data warehouses

por Mugdha G

25 de Fev de 2019

Good course!

por Santosh R

6 de Out de 2016

Great course

por Dushyant S

18 de Jan de 2019

Good course

por Jair F L M

30 de Nov de 2018

Good course

por Nikhil n

26 de Jul de 2017

excellent

por karthik D

23 de Jan de 2019

good

por Minas-Marios V

17 de Out de 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!

por Jason L

7 de Mai de 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.

por Dragana S

13 de Nov de 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.

por Linda S

4 de Out de 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.

por Tom C

19 de Mar de 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.

por srinivas

4 de Mar de 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.

por Shalmoli N

8 de Jun de 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

por Andy O

28 de Jan de 2018

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

por Rohan L

19 de Mai de 2021

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

por Bruno A S I

28 de Dez de 2017

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

por hatem e

29 de Nov de 2021

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

por Odile M

13 de Jan de 2016

Missing course material about how calculating fact table size ans sparsity

por Ravi

16 de Fev de 2016

Good for Beginners to go for.

por Ian M

28 de Dez de 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.

por Jacob G

24 de Mar de 2021

Content is lacking and final assignment was a nightmare; difficult to install multiple pieces of software only for a tedious assignment, that ended up not working the way they were supposed to leading to me not fully completing the work. Course videos are mostly wasted time - first introduce the topics that will be discussed, summarize points you should get from the lesson, followed by 2-5 minutes of actual content, then a summary of the minuscule amount of info you just heard.

Must not be a popular course, because peer grading often took a while, and there often were not other submissions for me to grade. Needed to go to discussion which solely consists of old posts from people needing grades

por Sylvain L

9 de Mar de 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.

por Danielle B

7 de Fev de 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.

por David R

2 de Abr de 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.

por Antonio T

28 de Ago de 2020

I think this course is not apropiated for work specialization, is only as light additional knowledge of several concepts without go into details.

I don't recomend it. I have left before finish trial week, because it doesn't reach my expectations.