Construção de um Data Warehouse utilizando a linguagem Python aliada ao SQLite para os Micrododados do ENADE dos anos de 2017, 2018 e 2019 disponibilizados pelo Governo, seguida de uma análise de dados e um modelo de predição.

Data warehouse design and database implementation using SQL and Tableau

Repositório central contendo todos os projetos e desafios desenvolvidos durante o bootcamp NTT Data, organizados em subpastas por tema. Um espaço para acompanhar o progresso e aprendizado ao longo do curso.

University lab exercises with processing big data.

Udacity project: implementing an ETL process on a PostgreSQL DB to create a star schema data model

Course of business intelligence bootcamp by Dibimbing

All in one slice and dice module

Using ETL process to Extract, Transform, and Load local data into a PostgreSQL database

Creating a Database and ETL pipeline in Postgres for a music streaming app.

Designing a star schema data warehouse based on the Northwind database and implementing the ETL process using the SSIS tool.

EssentialMonolith

Cube Creation using VIsual Studio, OLAP Reports and Power Bi

This project documentation was developed as a free project, as a data analyst from the fictional company Sell Boardgames would do in his daily work.

Creating a Data Warehouse using Aws Redshift.

A Capstone Project that covers several aspects of Data Engineering (Data Exploration, Cleaning, Modeling, Pipelining, Processing)

Batch & streaming data pipelines built using Databricks with Pyspark and modeled the data into star schema to analyze in PowerBI, Formula-1 racing data from multiple data sources, APIs.

Data Engineering Project - Python, PySpark & SQL - Azure Data Factory (ADF), DataBricks, Synapse Analytics, Azure Data Lake Storage (ADLS) Gen2, Power BI, Tableau and Looker Studio

Construção de um data warehouse simples em PostgreSQL a partir de um banco de dados de exemplo, seguindo a lógica do modelo Star Schema.

Source code for the Kimball-style date dimension generator dimdates.com.

This repository contains the project materials for optimising e-commerce conversion rates through comprehensive data analysis. Leveraging SQL, MySQL, Power BI, and other tools, explore key factors influencing website performance. From data collection to actionable insights and recommendations,