https://github.com/gakas14/formula1_data_modeling

This project involves getting different datasets, creating a data model, creating tables, creating relationships between tables, and then loading the data into Snowflake.
https://github.com/gakas14/formula1_data_modeling

data-engineering data-modeling entity-relationship-diagram pandas-dataframe python snowflake sql

Last synced: about 2 months ago
JSON representation

This project involves getting different datasets, creating a data model, creating tables, creating relationships between tables, and then loading the data into Snowflake.

• Host: GitHub
• URL: https://github.com/gakas14/formula1_data_modeling
• Owner: gakas14
• Created: 2024-03-08T08:20:16.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2024-03-12T03:41:40.000Z (over 2 years ago)
• Last Synced: 2024-12-31T12:34:04.264Z (over 1 year ago)
• Topics: data-engineering, data-modeling, entity-relationship-diagram, pandas-dataframe, python, snowflake, sql
• Language: Jupyter Notebook
• Homepage:
• Size: 422 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
# Formula1_Data_Modeling

### In this project, we have a Formula 1 dataset covering races, drivers, constructors, qualifying, circuits, lap times, pit stops, and championships from 1950 to the 2023 season. The data needs to be loaded into a Snowflake database.

#### 1. We first load the different datasets into Python and then process some transformations.

#### 2. We create a connection between Python and Snowflake and create a database. 



#### 3. We create a Snowflake table using Python. 



#### 4. We Build a data model.

![F1_Entity_Relation drawio](https://github.com/gakas14/Formula1_Data_Modeling/assets/74584964/fb3e6760-706c-4df6-beef-49c78dc8709b)

#### 5. We load the different data frames into a Snowflake.