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English Information

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Authors
# Name
1 Lorenna Christna Nascimento(lorennachrist@id.uff.br)
2 Marcos Lage(mlage@ic.uff.br)
3 Daniel de Oliveira(danielcmo@ic.uff.br)

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Reference
# Reference
1 Armbrust, M., Xin, R. S., Lian, C., Huai, Y., Liu, D., Bradley, J. K., Meng, X., Kaftan, T., Franklin, M. J., Ghodsi, A., and Zaharia, M. (2015). Spark sql: Relational data processing in spark. In SIGMOD, page 1383–1394, New York, NY, USA.
2 Battle, L., Chang, R., and Stonebraker, M. (2016). Dynamic prefetching of data tiles for interactive visualization. In SIGMOD, pages 1363–1375. ACM.
3 Battle, L., Eichmann, P., Angelini, M., Catarci, T., Santucci, G., Zheng, Y., Binnig, C., Fekete, J.-D., and Moritz, D. (2020). Database benchmarking for supporting real-time interactive querying of large data. In SIGMOD, page 1571–1587, New York, NY, USA.
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6 Doraiswamy, H. and Freire, J. (2020). A gpu-friendly geometric data model and algebra for spatial queries. In SIGMOD, page 1875–1885, New York, NY, USA.
7 Eichmann, P., Zgraggen, E., Binnig, C., and Kraska, T. (2020). Idebench: A benchmark for interactive data exploration. In SIGMOD, page 1555–1569, New York, NY, USA.
8 Jiang, L., Rahman, P., and Nandi, A. (2018). Evaluating interactive data systems: Workloads, metrics, and guidelines. In SIGMOD, page 1637–1644, New York, NY, USA.
9 Kimball, R. and Ross, M. (2002).The Data Warehouse Toolkit: The complete guide to dimensional modeling. Wiley, New York.
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11 Liu, Z. and Heer, J. (2014). The effects of interactive latency on exploratory visual analysis. IEEE transactions on visualization and computer graphics, 20(12):2122–2131.
12 Munzner, T. (2014). Visualization analysis and design. CRC press.
13 Nascimento, L. C., Knust, L., Santos, R., Sá, B., Moreira, G., Freitas, F., Moura, N., Lage, M., and Oliveira, D. (2021). Análise de dados pluviométricos multi-fonte baseada em técnicas olap e de visualização: uma abordagem prática. In WCAMA, pages 1–10.
14 Samet, H. (1990). The Design and Analysis of Spatial Data Structures. Addison-Wesley.
15 Schmidt, J. (2020). Usage of visualization techniques in data science workflows. In Proc. of the VISIGRAPP, pages 309–316.
16 Zheng, Y., Wu, W., Chen, Y., Qu, H., and Ni, L. M. (2016). Visual analytics in urban computing: An overview. IEEE Transactions on Big Data, 2(3):276–296.
17 Zimbrao, G. and de Souza, J. M. (1998). A raster approximation for processing of spatial joins.In VLDB, pages 558–569. Morgan Kaufmann.