https://github.com/derak-isaack/pharmacysalestracker

Streamlit application that tracks pharmacy products sales for a Big Pharma company across various regions. Thereafter, transformation is done using dbt. Streamlit DBT
https://github.com/derak-isaack/pharmacysalestracker

dbt google-sheets-api jinja2-templates sql streamlit

Last synced: 23 days ago
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Streamlit application that tracks pharmacy products sales for a Big Pharma company across various regions. Thereafter, transformation is done using dbt. Streamlit DBT

• Host: GitHub
• URL: https://github.com/derak-isaack/pharmacysalestracker
• Owner: derak-isaack
• Created: 2024-05-22T21:41:42.000Z (9 months ago)
• Default Branch: master
• Last Pushed: 2024-05-28T01:30:56.000Z (9 months ago)
• Last Synced: 2024-11-20T05:51:30.025Z (3 months ago)
• Topics: dbt, google-sheets-api, jinja2-templates, sql, streamlit
• Language: Python
• Homepage:
• Size: 7.71 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
## 


 ETL Pipeline Pharmacy sales Tracker 
 


![Python](https://img.shields.io/badge/Python-3776AB?logo=python&logoColor=fff&style=for-the-badge)

![streamlit](https://img.shields.io/badge/Streamlit-FF4B4B?logo=streamlit&logoColor=fff&style=for-the-badge)

![GoogleSheets](https://img.shields.io/badge/Google%20Sheets-34A853?logo=googlesheets&logoColor=fff&style=for-the-badge)

![Duckdb](https://img.shields.io/badge/DuckDB-FFF000?logo=duckdb&logoColor=000&style=for-the-badge)

![DBT](https://img.shields.io/badge/dbt-FF694B?logo=dbt&logoColor=fff&style=for-the-badge)

![Jinja](https://img.shields.io/badge/Jinja-B41717?logo=jinja&logoColor=fff&style=for-the-badge)

### 


 Overview 


This is a `Pharmacy Sales tracker` which connects `Streamlit` and `Google Sheets`. The `Streamlit` application provides a user interphace for the employees to input the product quantity sales of a pharmaceutical company across several distributed towns. 

The `User Interface` looks like:

![Demo]()

After employee input about sales, the same sheet is extracted and loaded into an `OLAP` database precisely `DuckDB` where `DBT` is used to perform transformation of the sales data which can be found [here](models). 

`DUCKDB` is efficient for handling large volumes of data and scales well with any type of data. 

With sufficient data, an `increemental model` using `DBT` will be implemented to only ensure new incoming data is transformed so as not to slow the database operations. 

`DBT` is a good tool for transformartion as it allows building efficient scalable `ETL` data pipelines. With DBT, different transformation `SQL` models can be chained together through model referencing. 

### Using the starter project

Try running the following commands:

- dbt run

- dbt test

### Resources:

- Learn more about dbt [in the docs](https://docs.getdbt.com/docs/introduction)

- Check out [Discourse](https://discourse.getdbt.com/) for commonly asked questions and answers

- Join the [chat](https://community.getdbt.com/) on Slack for live discussions and support

- Find [dbt events](https://events.getdbt.com) near you

- Check out [the blog](https://blog.getdbt.com/) for the latest news on dbt's development and best practices