Informações sobre o curso

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comecei uma nova carreira após concluir estes cursos

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consegui um benefício significativo de carreira com este curso

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recebi um aumento ou promoção
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Aprox. 23 horas para completar
Inglês
Legendas: Inglês

Habilidades que você terá

Extraction, Transformation And Loading (ETL)PentahoData IntegrationData Warehouse

Resultados de carreira do aprendiz

29%

comecei uma nova carreira após concluir estes cursos

29%

consegui um benefício significativo de carreira com este curso

18%

recebi um aumento ou promoção
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Aprox. 23 horas para completar
Inglês
Legendas: Inglês

Instrutores

oferecido por

Logotipo de Sistema de Universidades do ColoradoUniversidade do Colorado

Sistema de Universidades do ColoradoUniversidade do Colorado

Programa - O que você aprenderá com este curso

Classificação do conteúdoThumbs Up94%(4,464 classificações)Info
Semana
1

Semana 1

4 horas para concluir

Data Warehouse Concepts and Architectures

4 horas para concluir
8 vídeos (Total 53 mín.), 15 leituras, 1 teste
8 videos
Course objectives video lecture4min
Course topics and assignments video lecture4min
Motivation and characteristics video lecture8min
Learning effects for data warehouse development video lecture9min
Data warehouse architectures and maturity video lecture10min
Data Warehouse Examples video lecture9min
Employment opportunities video lecture6min
15 leituras
Powerpoint lecture notes for lesson 110min
Optional textbook10min
Powerpoint lecture notes for lesson 210min
Powerpoint lecture notes for lesson 310min
Powerpoint lecture notes for lesson 410min
Powerpoint lecture notes for lesson 510min
Powerpoint lecture notes for lesson 610min
Powerpoint lecture notes for lesson 710min
Overview of software requirements10min
Pivot4J installation10min
Pentaho Data Integration installation10min
Overview of database software installation10min
Oracle installation notes10min
Making connections to a local Oracle database10min
Optional textbook reading material10min
1 exercício prático
Module 1 quiz30min
Semana
2

Semana 2

3 horas para concluir

Multidimensional Data Representation and Manipulation

3 horas para concluir
8 vídeos (Total 50 mín.), 9 leituras, 1 teste
8 videos
Data cube operators video lecture6min
Overview of Microsoft MDX video lecture6min
Microsoft MDX statements video lecture6min
Overview of Pivot4J video lecture6min
Overview of WebPivotTable video lecture4min
WebPivotTable software demonstration5min
Pivot4J software demonstration video lecture4min
9 leituras
Powerpoint lecture notes for lesson 110min
Powerpoint lecture notes for lesson 210min
Powerpoint lecture notes for lesson 310min
Powerpoint lecture notes for lesson 410min
Powerpoint lecture notes for lesson 510min
Powerpoint lecture notes for lesson 610min
Optional textbook reading material10min
Pentaho Pivot4J tutorial10min
WebPivotTable Tutorial10min
1 exercício prático
Module 2 quiz20min
4 horas para concluir

Multidimensional Data Representation and Manipulation: Lesson Choices

4 horas para concluir
2 exercícios práticos
Quiz for module 2 assignment - WebPivotTable
Quiz for module 2 assignment - Pivot4J26min
Semana
3

Semana 3

4 horas para concluir

Data Warehouse Design Practices and Methodologies

4 horas para concluir
6 vídeos (Total 47 mín.), 8 leituras, 2 testes
6 videos
Table design patterns video lecture8min
Summarizability patterns for dimension tables video lecture6min
Summarizability patterns for dimension-fact relationships video lecture6min
Mini case for data warehouse design video lecture8min
Data warehouse design methodologies video lecture8min
8 leituras
Powerpoint lecture notes for lesson 110min
Powerpoint lecture notes for lesson 210min
Powerpoint lecture notes for lesson 310min
Powerpoint lecture notes for lesson 410min
Powerpoint lecture notes for lesson 510min
Powerpoint lecture notes for lesson 610min
Practice problems for module 310min
Optional textbook reading material10min
1 exercício prático
Module 3 quiz20min
Semana
4

Semana 4

2 horas para concluir

Data Integration Concepts, Processes, and Techniques

2 horas para concluir
6 vídeos (Total 48 mín.), 7 leituras, 1 teste
6 videos
Change data concepts video lecture7min
Data cleaning tasks video lecture5min
Pattern matching with regular expressions video lecture9min
Matching and consolidation video lecture8min
Quasi identifiers and distance functions for entity matching video lecture7min
7 leituras
Powerpoint lecture notes for lesson 110min
Powerpoint lecture notes for lesson 210min
Powerpoint lecture notes for lesson 310min
Powerpoint lecture notes for lesson 410min
Powerpoint lecture notes for lesson 510min
Powerpoint lecture notes for lesson 610min
Optional reading material10min
1 exercício prático
Module 4 quiz30min

Avaliações

Principais avaliações do CONCEITOS, DESIGN E INTEGRAÇÃO DE DADOS EM DATA WAREHOUSES

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Sobre Programa de cursos integrados Armazenagem de dados e inteligência de negócios Armazenagem de Dados e Inteligência de Negócios

Evaluate business needs, design a data warehouse, and integrate and visualize data using dashboards and visual analytics. This Specialization covers data architecture skills that are increasingly critical across a broad range of technology fields. You’ll learn the basics of structured data modeling, gain practical SQL coding experience, and develop an in-depth understanding of data warehouse design and data manipulation. You’ll have the opportunity to work with large data sets in a data warehouse environment to create dashboards and Visual Analytics. You will use of MicroStrategy, a leading BI tool, OLAP (online analytical processing) and Visual Insights capabilities to create dashboards and Visual Analytics. In the final Capstone Project, you’ll apply your skills to build a small, basic data warehouse, populate it with data, and create dashboards and other visualizations to analyze and communicate the data to a broad audience....
 Armazenagem de dados e inteligência de negócios Armazenagem de Dados e Inteligência de Negócios

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