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data-warehouse

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Tech Challenge of the Postgraduate in Data Analytics, from FIAP, developing a Data Warehouse with data from PNAD-COVID-19, from IBGE, using Pyspark and Google BigQuery for ETL, as well as an analysis of the importance of variables using permutation and a random forest model for classifying the condition of COVID-19,to guide the analysis of the data

  • Updated Nov 1, 2023
  • Jupyter Notebook

SQL Server, Analysis Services, and BI tools are utilized to build a data warehouse, create OLAP reports, and visualize insights. Actions also include finding datasets, defining star/snowflake schemas, populating tables, and designing cubes. Steps, challenges, and solutions are documented, showcasing reports and visualizations for presentation.

  • Updated Apr 15, 2024

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