Informações sobre o curso
4.4
634 classificações
126 avaliações
100% online

100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Horas para completar

Aprox. 19 horas para completar

Sugerido: 5 hours/week...
Idiomas disponíveis

Inglês

Legendas: Inglês

Habilidades que você terá

Extraction, Transformation And Loading (ETL)PentahoData IntegrationData Warehouse
100% online

100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Horas para completar

Aprox. 19 horas para completar

Sugerido: 5 hours/week...
Idiomas disponíveis

Inglês

Legendas: Inglês

Programa - O que você aprenderá com este curso

Semana
1
Horas para completar
4 horas para concluir

Data Warehouse Concepts and Architectures

Module 1 introduces the course and covers concepts that provide a context for the remainder of this course. In the first two lessons, you’ll understand the objectives for the course and know what topics and assignments to expect. In the remaining lessons, you will learn about historical reasons for development of data warehouse technology, learning effects, business architectures, maturity models, project management issues, market trends, and employment opportunities. This informational module will ensure that you have the background for success in later modules that emphasize details and hands-on skills.You should also read about the software requirements in the lesson at the end of module 1. I recommend that you try to install the software this week before assignments begin in week 2....
Reading
8 vídeos (total de (Total 53 mín.) min), 15 leituras, 1 teste
Video8 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
Reading15 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
Quiz1 exercício prático
Module 1 quiz30min
Semana
2
Horas para completar
7 horas para concluir

Multidimensional Data Representation and Manipulation

Now that you have the informational context for data warehouse development, you’ll start using data warehouse tools! In module 2, you will learn about the multidimensional representation of a data warehouse used by business analysts. You’ll apply what you’ve learned in practice and graded problems using WebPivotTable or Pivot4J, open source tools for manipulating pivot tables. At the end of this module, you will have solid background to communicate and assist business analysts who use a multidimensional representation of a data warehouse....
Reading
7 vídeos (total de (Total 45 mín.) min), 9 leituras, 2 testes
Video7 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
Pivot4J software demonstration video lecture5min
Reading9 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
Quiz3 exercícios práticos
Module 2 quiz20min
Quiz for module 2 assignment - WebPivotTable
Quiz for module 2 assignment - Pivot4J26min
Semana
3
Horas para completar
4 horas para concluir

Data Warehouse Design Practices and Methodologies

This module emphasizes data warehouse design skills. Now that you understand the multidimensional representation used by business analysts, you are ready to learn about data warehouse design using a relational database. In practice, the multidimensional representation used by business analysts must be derived from a data warehouse design using a relational DBMS.You will learn about design patterns, summarizability problems, and design methodologies. You will apply these concepts to mini case studies about data warehouse design. At the end of the module, you will have created data warehouse designs based on data sources and business needs of hypothetical organizations....
Reading
6 vídeos (total de (Total 47 mín.) min), 8 leituras, 2 testes
Video6 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
Reading8 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
Quiz1 exercício prático
Module 3 quiz20min
Semana
4
Horas para completar
2 horas para concluir

Data Integration Concepts, Processes, and Techniques

Module 4 extends your background about data warehouse development. After learning about schema design concepts and practices, you are ready to learn about data integration processing to populate and refresh a data warehouse. The informational background in module 4 covers concepts about data sources, data integration processes, and techniques for pattern matching and inexact matching of text. Module 4 provides a context for the software skills that you will learn in module 5. ...
Reading
6 vídeos (total de (Total 48 mín.) min), 7 leituras, 1 teste
Video6 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
Reading7 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
Quiz1 exercício prático
Module 4 quiz30min
4.4
126 avaliaçõesChevron Right
Direcionamento de carreira

20%

comecei uma nova carreira após concluir estes cursos
Benefício de carreira

17%

consegui um benefício significativo de carreira com este curso

Melhores avaliações

por EKDec 16th 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.

por MHDec 13th 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

Instrutores

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Michael Mannino

Associate Professor
Business School, University of Colorado Denver

Sobre University of Colorado System

The University of Colorado is a recognized leader in higher education on the national and global stage. We collaborate to meet the diverse needs of our students and communities. We promote innovation, encourage discovery and support the extension of knowledge in ways unique to the state of Colorado and beyond....

Sobre o Programa de cursos integrados Data Warehousing for Business Intelligence

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....
Data Warehousing for Business Intelligence

Perguntas Frequentes – FAQ

  • Ao se inscrever para um Certificado, você terá acesso a todos os vídeos, testes e tarefas de programação (se aplicável). Tarefas avaliadas pelos colegas apenas podem ser enviadas e avaliadas após o início da sessão. Caso escolha explorar o curso sem adquiri-lo, talvez você não consiga acessar certas tarefas.

  • Quando você se inscreve no curso, tem acesso a todos os cursos na Especialização e pode obter um certificado quando concluir o trabalho. Seu Certificado eletrônico será adicionado à sua página de Participações e você poderá imprimi-lo ou adicioná-lo ao seu perfil no LinkedIn. Se quiser apenas ler e assistir o conteúdo do curso, você poderá frequentá-lo como ouvinte sem custo.

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