Business Intelligence e Data Warehousing
Principais Livros e Artigos
- BERNSTEIN, Philip A.; HAAS, Laura A.
Information Integration in the Enterprise.
Communications of the ACM, New York, v. 51, nº 9, p. 72-79, sep. 2008.
[Dá uma visão geral das abordagens e ferramentas necessárias para soluções de integração de dados.]
Outros Livros e Artigos Interessantes
- ANTHES, Gary.
Deep Data Dives Discovers Natural Laws.
Communications of the ACM, New York, v. 52, nº 11, p. 13-14, nov. 2009.
[Trata do uso de técnicas de análise de dados para identificar novas leis naturais.]
- BALLOU, Donald P.; TAYI, Giri K.
Enhancing Data Quality in Data Warehouse Environments.
Communications of the ACM, New York, v. 42, nº 1, p. 73-78, jan. 1999.
- BARBIERI, C.
BI - Business Intelligence.
São Paulo: Axcel, 2001.
- CAVALCANTI, Maria C. et al.
Princípios de Projeto para um Data Warehouse Dimensional.
Rio de Janeiro, UFRJ, [s.n.], abr. 1998.
- CHAUDHURI, Surajit et al.
An Overview of Business Intelligence Technology.
Communications of the ACM, New York, v. 54, nº 8, p. 88-98, aug. 2011.
- CHENOWETH, Tim; SCHUFF, David; St. LOUIS, Robert.
A Method for Developing Dimensional Data Marts.
Communications of the ACM, New York, v. 46, nº 12, p. 93-98, dec. 2003.
- CLARK, Gary.
Strategies to Solutions: How to Implement a Data Warehouse.
DM Review, 01 apr. 1998.
- FAN, Weiguo; GORDON, Michael D.
The Power of Social Media Analytics.
Communications of the ACM, New York, v. 57, nº 6, p. 74-81, jun. 2014.
- FIRESTONE, Joseph M.
Dimensional Modeling and E-R Modeling in the Data Warehouse.
Executive Information Systems Inc., white paper n. 8, 22 jun. 1998.
- FOSTER, Ian; GROSSMAN, Robert L.
Data Integration in a Bandwidth-Rich World.
Communications of the ACM, New York, v. 46, nº 11, p. 50-57, nov. 2003.
[Discute a integração de dados em enormes bancos distribuídos pelo mundo, construindo Data Warehouses dinamicamente.]
- GARDNER, Stephen R.
Building the Data Warehouse.
Communications of the ACM, New York, v. 41, nº 9, p. 52-60, sep. 1998.
- GLASSEY, Katherine.
Seducing the End User.
Communications of the ACM, New York, v. 41, nº 9, p. 62-69, sep. 1998.
- GORLA, Narasimhaiah.
Features to Consider in a Data Warehousing System.
Communications of the ACM, New York, v. 46, nº 11, p. 111-115, nov. 2003.
- GRIFFIN, Jane.
Information Strategy: Data Mart vs. Data Warehouse.
DM Review, 01 feb. 1998.
- HARRISON, Thomas H.
Intranet Data Warehouse.
São Paulo: Berkeley, 1998.
- INMON, William H. et al.
Data Mart is Not Equal to Data Warehouse.
DM Direct Newsletter, 20 nov. 1999.
- INMON, William H.; HACKATHORN, R.
Como Usar o Data Warehouse.
Rio de Janeiro: Infobook, 1997.
- INMON, William H.; WELCH, J. D.; GLASSEY, Katherine L.
Gerenciando o Data Warehouse.
São Paulo: Makron, 1999.
- JACOBS, James A.; HUMPHREY, Charles.
Preserving Research Data.
Communications of the ACM, New York, v. 47, nº 9, p. 27-29, sep. 2004.
[Discute o armazenamento de dados usados em pesquisas científicas e propõe uma estrutura de metadados para facilitar a sua recuperação.]
- JUKIC, Nenad.
Modelling Strategies and Alternatives for Data Warehousing Projects.
Communications of the ACM, New York, v. 49, nº 4, p. 83-88, apr. 2006.
[Dá uma visão geral sobre as diversas metodologias disponíveis para a
construção de Data Warehouses.]
- KIMBALL, Ralph.
Data Warehouse Toolkit: Técnicas para Construção de Data Warehouses Dimensionais.
Rio de Janeiro: Campus, 1998.
- KIMBALL, Ralph.
Managing Helper Tables.
Intelligent Enterprise, [s.n.], 10 aug. 2001.
- KIMBALL, Ralph.
The Anti-Architect.
Intelligent Enterprise, [s.n.], 14 jan. 2002.
- KIMBALL, Ralph.
What Not to Do: Dimensional Modeling Mistakes to Guard Against.
Intelligent Enterprise, [s.n.], 24 nov. 2001.
- KIMBALL, Ralph et al.
The Data Warehouse Lifecycle Toolkit: Expert Methods for Designing, Developing and Deploying Data Warehouses.
New York: John Wiley and Sons, 1996.
- KIMBALL, Ralph; MERZ, Richard.
Data Webhouse: Construindo o Data Warehouse para a Web.
Rio de Janeiro: Campus, 2000.
- MELO, Rubens.
Curso de Data Warehouse.
Rio de Janeiro, PUC-Rio, [2000?]. 100 p. Mimeografado.
- MONTEIRO NETO, Roberto R.
Mapeamento entre os Modelos E-R e Star.
Rio de Janeiro, UFRJ, [s.n.], mai. 1998.
- NIEMI, Tapio et al.
Constructing OLAP Cubes Bases on Queries.
Proceedings of ACM Fourth International Workshop on Data Warehousing and OLAP, Atlanta, USA, 09 nov. 2001.
- NOLAN, Peter; KIMBALL, Ralph.
Getting Started and Finishing Well.
Intelligent Enterprise, [s.n.], 07 may 2001.
- PETSCHULAT, Stephen.
Other People's Data.
Communications of the ACM, New York, v. 53, nº 1, p. 53-57, jan. 2010.
[Discute a integração de sistemas com dados externos.]
- PINHEIRO, Carlos A. R.
Qualidade de Dados em Data Warehouse: Objetivos e Sucesso.
Developers Magazine, São Paulo, nº 68, p. 18-20, abr. 2002.
- POKORNÝ, Jaroslav; SOKOLOWSKY, Peter.
A Conceptual Modelling Perspective for Data Warehouses.
4. Internationale Tagung Wirtschaftsinformatik, Saarbrücken, 03-05 mar. 1999.
- SHANKARANARAYANAN, Ganesan; EVEN, Adir.
The Metadata Enigma.
Communications of the ACM, New York, v. 49, nº 2, p. 88-94, feb. 2006.
- SILVA, Valentim.
Business Intelligence.
DDS Informática, [1997?]. White paper.
- STÖHR et al.
An Integrative and Uniform Model for Metadata Management in Data Warehousing Environments.
[s.l.], jun. 1999.
- STONEBRAKER, Michael.
My Top 10 Assertions About Data Warehouses.
Communications of the ACM, New York, v. 54, nº 5, p. 10-11, may 2011.
- WANG, Gang; CHEN, Hsinchun; ATABAKHSH, Homa.
Automatically Detecting Deceptive Criminal Identities.
Communications of the ACM, New York, v. 47, nº 3, p. 70-76, mar. 2004.
[Discute métodos para estabelecer relacionamentos entre dados ”sujos“ fornecidos por criminosos e dispersos por diversos sistemas.]
- WATSON, Hugh J.; HALEY, Barbara J.
Managerial Considerations.
Communications of the ACM, New York, v. 41, nº 9, p. 32-37, sep. 1998.
- WEISER, Orli et al.
65 Competencies: Which Ones Should Your Data Analytics Experts Have?
Communications of the ACM, New York, v. 65, nº 3, p. 58-66, Mar. 2022. DOI 10.1145/3467018.