# #Referências

- AMAZON. **What is Apache Spark?**. Disponível em: <[https://aws.amazon.com/big-data/what-is-spark/>](https://aws.amazon.com/big-data/what-is-spark/). Acesso em: 09 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/>](https://aws.amazon.com/big-data/datalakes-and-analytics/what-is-a-data-lake/). Acesso em: 07 de março de 2022.
- AMAZON. **What is Hadoop?**. Disponível em: <[https://aws.amazon.com/emr/details/hadoop/what-is-hadoop/](https://aws.amazon.com/emr/details/hadoop/what-is-hadoop/)>. Acesso em: 09 de março de 2022.
- ANAND, K.. **Can Big Data replace an EDW?**. Disponível em: <[https://mastechinfotrellis.com/blog/can-big-data-replace-edw](https://mastechinfotrellis.com/blog/can-big-data-replace-edw). Publicado em: 23 de Julho de 2019. Acesso em: 08 de março de 2022.
- <span class="fontstyle0"><span style="font-weight: 400;">ARMBRUST</span>, M., <span style="font-weight: 400;">GHODSI</span>, A., XIN, R., <span style="font-weight: 400;">ZAHARIA, M.</span> Lakehouse: A New Generation of Open Platforms that Unify Data Warehousing and Advanced Analytics**.** **11th Annual Conference on Innovative Data Systems Research.** 2021.  
      
    </span>
- <span class="fontstyle0">BARBIERI, C. **Governança de Dados: Práticas, conceitos e novos caminhos.** Rio de Janeiro: Alta Books, 2019.  
      
    </span>
- <span class="fontstyle0">BEGOLI, B., GOETHERT, I. KNIGHT, K. A Lakehouse Architecture for the Management and Analysis of Heterogeneous Data for Biomedical Research and Mega-biobanks. **2021 IEEE International Conference on Big Data (Big Data).** P. 4643-4651. 2021.  
      
    </span>
- <span class="fontstyle0">DAMA INTERNATIONAL. **DAMA-DMBOK: Data Management Body of Knowledge (2nd Edition)**. Denville, NJ, USA. Technics Publications. 2017.  
      
    </span>
- DEHGHANI, Z.. **How to Move Beyond a Monolithic Data Lake to a Distributed Data Mesh.** Disponível em: &lt;[https://martinfowler.com/articles/data-monolith-to-mesh.html](https://martinfowler.com/articles/data-monolith-to-mesh.html)&gt;. Publicado em: 20 de maio de 2019. Acesso em: 15 de março de 2022.
- GANDOMI, A., HAIDER, M. Beyond the hype: Big data concepts, methods, and analytics. **International Journal of Information Management**. V. 35, P. 137-144. 2015.
- 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.
- PEREIRA, D., OLIVEIRA, P., RODRIGUES, F. Data warehouses in MongoDB vs SQL Server: A comparative analysis of the querie performance. **Information Systems and Technologies (CISTI)**, 10th Iberian Conference. P. 1–7. 2015.
- INMON, W. H. **Building the Data Warehouse.** Indianapolis. Wiley. 2005. 428 p.
- INMON, B. **Data Lake architecture: Designing the Data Lake and avoiding the garbage dump**. Indianapolis. Technics Publications. 2016. 168 p.
- KHINE, P. P., WANG, Z. S. Data lake: a new ideology in big data era. **ITM Web of Conferences,** V 17. 2018.
- <span class="fontstyle0"><span style="font-weight: 400;">MILOSLAVSKAYA</span>, N., <span style="font-weight: 400;">TOLSTOY</span>, A. Big data, fast data and data lake concepts. **7Th annual international conference on biologically inspired cognitive architectures (BICA 2016).** NY, USA. Procedia Computer Science. V. 88, P. 1–6. 2016.  
      
    </span>
- MICROSOFT. **What is business intelligence?**. Disponível em: &lt;[https://powerbi.microsoft.com/en-us/what-is-business-intelligence/&gt;](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, &amp; Tools.** Disponível em: &lt;[https://www.tableau.com/learn/articles/business-intelligence](https://www.tableau.com/learn/articles/business-intelligence)&gt;. Acesso em: 07 de março de 2022.
- GARTNER. **Business Intelligence (BI) Platforms.** Disponível em: &lt;[https://www.gartner.com/en/information-technology/glossary/bi-platforms&gt;](https://www.gartner.com/en/information-technology/glossary/bi-platforms). Acesso em: 07 de março de 2022.
- GARTNER. **Master Data Management (MDM).** Disponível em: &lt;[https://www.gartner.com/en/information-technology/glossary/master-data-management-mdm](https://www.gartner.com/en/information-technology/glossary/master-data-management-mdm)&gt;. Acesso em: 18 de março de 2022.
- MONGODB. **Database Scaling.** Disponível em: &lt;[https://www.mongodb.com/databases/scaling](https://www.mongodb.com/databases/scaling)&gt;. Acesso em: 09 de março de 2022.
- SAS. **Big Data: What is and why it matters**. Disponível em: &lt;[https://www.sas.com/pt\_br/insights/big-data/what-is-big-data.html&gt;](https://www.sas.com/pt_br/insights/big-data/what-is-big-data.html). Acesso em: 08 de março de 2022.
- SAS. **Big Data Analytics: What is and why it matters**. Disponível em: &lt;[https://www.sas.com/pt\_br/insights/analytics/big-data-analytics.html](https://www.sas.com/pt_br/insights/analytics/big-data-analytics.html)&gt;. Acesso em: 09 de março de 2022.
- GOASDUFF, L.. **The Best Ways to Organize Your Data Structures.** Disponível em: &lt;[https://www.gartner.com/smarterwithgartner/the-best-ways-to-organize-your-data-structures](https://www.gartner.com/smarterwithgartner/the-best-ways-to-organize-your-data-structures)&gt;. Publicado em: 20 de junho de 2020. Acesso em: 21 de março de 2022.
- HARRAB, Y.E. **How to differentiate a Data Hub, a Data Lake and a Data Warehouse.** Disponível em: &lt;[https://www.semarchy.com/blog/how-to-differentiate-a-data-hub-a-data-lake-and-a-data-warehouse/](https://www.semarchy.com/blog/how-to-differentiate-a-data-hub-a-data-lake-and-a-data-warehouse/)&gt;. Publicado em: 09 de março de 2020. Acesso em: 21 de março de 2022.
- ORACLE. **What is Big Data?**. Disponível em: &lt;[https://www.oracle.com/big-data/what-is-big-data/](https://www.oracle.com/big-data/what-is-big-data/).&gt; Acesso em: 08 de março de 2022.
- <span class="fontstyle0">OREŠČANIN, D., HLUPIĆ, T. Data Lakehouse - a Novel Step in Analytics Architecture. **44th International Convention on Information, Communication and Electronic Technology (MIPRO).** V. 44, P. 1242-1246. 2021.  
      
    </span>
- 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.  
    <span class="fontstyle0">  
    </span>
- SALINAS, S.O., LEMUS, A. C. N. Data Warehouse and Big Data Integration. **International Journal of Computer Science &amp; Information Technology (IJCSIT)**. V. 9, N.2 E. 4, P. 1-17. Abril de 2017.
- <span class="fontstyle0">SAWADOGO, P., DARMONT, J. On data lake architectures and metadata management. **Journal of Intelligent Information Systems**. V. 56. P. 97-120. 2021.</span><span class="fontstyle0">  
    </span><span class="fontstyle0">  
    </span>