Chevron Left
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
999 classificações

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.

Filtrar por:

1 — 25 de 197 Avaliações para o Conceitos, design e integração de dados em data warehouses

por Nils K

16 de nov de 2017

por Sebastian G

2 de jan de 2017

por Александр К

10 de nov de 2018

por Gavin

9 de nov de 2019

por Sujay S

18 de jan de 2018

por Rochelle H

19 de ago de 2017

por Mesum R H

13 de dez de 2016

por Peter V

11 de out de 2020

por Esteban R

1 de out de 2019

por John P

19 de out de 2020

por Nelson F A

24 de ago de 2018

por John F

20 de fev de 2016

por Robert L J

5 de mar de 2016

por Montana F R

25 de mar de 2016

por Jose A

12 de jun de 2017

por Felix M

2 de ago de 2017

por Gokay B

13 de dez de 2021

por William J

8 de fev de 2021

por Jacob G

24 de mar de 2021

por Bintang A S

1 de jan de 2017

por Deleted A

30 de nov de 2018

por Nasheena

3 de abr de 2019

por Susan W

16 de abr de 2016

por Konstantin P

10 de jun de 2021

por Liberto S

19 de set de 2020