https://github.com/thunchanokbow/inventory-amazon

Inventory value is also important for determining a company's liquidity, or its ability to meet its short-term financial obligations. A high inventory value can indicate that a company has too much money tied up in inventory, which could make it difficult for the company to pay its bills.
https://github.com/thunchanokbow/inventory-amazon

azure bigquery cloudcomposer clouddatabase cloudstorage compute-engine dataproc postgresql powerbi pyspark-sql python3

Last synced: about 1 month ago
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Inventory value is also important for determining a company's liquidity, or its ability to meet its short-term financial obligations. A high inventory value can indicate that a company has too much money tied up in inventory, which could make it difficult for the company to pay its bills.

• Host: GitHub
• URL: https://github.com/thunchanokbow/inventory-amazon
• Owner: thunchanokbow
• Created: 2023-09-14T05:21:08.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-10-15T16:26:31.000Z (over 1 year ago)
• Last Synced: 2024-11-11T10:36:19.550Z (3 months ago)
• Topics: azure, bigquery, cloudcomposer, clouddatabase, cloudstorage, compute-engine, dataproc, postgresql, powerbi, pyspark-sql, python3
• Language: Jupyter Notebook
• Homepage:
• Size: 21.3 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
Amazon's Inventory of Clothes

============

Let's find out from the dataset of Amazon's e-commerce company whether there are enough products to meet demand or excessive inventory that leads to loss of sales opportunities and revenue.


## Contents 

[PostgreSQL Database](sections/01-postgres.md) managed database on Azure  

  - [Azure Database for PostgreSQL flexible server](sections/01-postgres.md)


  

[Data Collection](Inventory2Q2022.ipynb) with PySpark 


[Data Pipeline](sections/02-data-pipeline.md) extract transform load

  - [Google Cloud Composer](sections/02-data-pipeline.md#Create-Cloud-Composer) provides running Apache Airflow to automate tasks


  - [Google Cloud Storage](sections/02-data-pipeline.md#Create-Bucket) (Data Lake) 
    

  - [Google Cloud Dataproc](sections/02-data-pipeline.md#Create-Cloud-Dataproc) managed Hadoop and Spark cluster  


  - [Google BigQuery](sections/02-data-pipeline.md#Create-Dataset) (Data Warehouse)  


  

[Data Visualization](sections/03-data-visualization.md) building dashboard with Power BI Desktop  




![11](/images/dashboard.jpeg)

![13](/images/0-Data-architecture.png)

![12](/images/cover-0.PNG)

Get more dataset information:

https://www.kaggle.com/thedevastator/datasets