#Referências

Referências

• KIMBALL, R., ROSS, M. The Kimball Group Reader: Relentlessly Practical Tools for Data Warehousing and Business Intelligence. Indianapolis. Wiley. 2010. 565 p.
  
  
• KIMBALL, R., ROSS, M. The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling (3nd Edition). Indianapolis. Wiley. 2013. 720 p.
  
  
• INMON, W. H. Building the Data Warehouse. Indianapolis. Wiley. 2005. 428 p.
  
  
• ANAND, K.. Can Big Data replace an EDW?. 2019. Disponível em: <https://mastechinfotrellis.com/blog/can-big-data-replace-edw. Acesso em: 08 de março de 2022.
  
  
• MICROSOFT. What is business intelligence?. Disponível em: <https://powerbi.microsoft.com/en-us/what-is-business-intelligence/>. Acesso em: 07 de março de 2022.
  
  
• TABLEAU. Business Intelligence: What It Is, How It Works, Its Importance, Examples, & Tools. Disponível em: <https://www.tableau.com/learn/articles/business-intelligence>. Acesso em: 07 de março de 2022.
  
  
• GARTNER. Business Intelligence (BI) Platforms. Disponível em: <https://www.gartner.com/en/information-technology/glossary/bi-platforms>. Acesso em: 07 de março de 2022.
  
  
• MONGODB. Database Scaling. Disponível em: <https://www.mongodb.com/databases/scaling. Acesso em: 09 de março de 2022.
  
  
• SAS. Big Data: What is and why it matters. Disponível em: <https://www.sas.com/pt_br/insights/big-data/what-is-big-data.html>. Acesso em: 08 de março de 2022.
  
  
• AMAZON. What is a data lake?. Disponível em: <https://aws.amazon.com/big-data/datalakes-and-analytics/what-is-a-data-lake/>. Acesso em: 07 de março de 2022.
  
  
• AMAZON 2. What is Hadoop?. Disponível em: <https://aws.amazon.com/emr/details/hadoop/what-is-hadoop/. Acesso em: 09 de março de 2022.
• ORACLE. What is Big Data?. Disponível em: <https://www.oracle.com/big-data/what-is-big-data/. Acesso em: 08 de março de 2022.
  
  
• OUSSOUS, Ahmed et al. Big Data technologies: A survey. Journal of King Saud University - Computer and Information Sciences. V. 30, E. 4, P. 431-448. Outubro de 2018.
  
  
• SALINAS, S.O., LEMUS, A. C. N. Data Warehouse and Big Data Integration. International Journal of Computer Science & Information Technology (IJCSIT). V. 9, N.2 E. 4, P. 1-17. Abril de 2017.
  
  
• GANDOMI, A., HAIDER, M. Beyond the hype: Big data concepts, methods, and analytics. International Journal of Information Management. V. 35, P. 137-144. 2015.