https://github.com/mednour2019/fake-dhw-food

Food Data Warehouse and Data Analysis
https://github.com/mednour2019/fake-dhw-food

analysisservices datawarehouse excel faker olap-cube python reporting sqlserver

Last synced: about 1 month ago
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Food Data Warehouse and Data Analysis

• Host: GitHub
• URL: https://github.com/mednour2019/fake-dhw-food
• Owner: mednour2019
• Created: 2024-07-25T19:49:58.000Z (4 months ago)
• Default Branch: main
• Last Pushed: 2024-09-14T15:05:55.000Z (2 months ago)
• Last Synced: 2024-10-12T07:03:56.617Z (about 1 month ago)
• Topics: analysisservices, datawarehouse, excel, faker, olap-cube, python, reporting, sqlserver
• Homepage: https://prtfnour.vercel.app/project-description/project-desc.html?project=project13
• Size: 244 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# fake-DHW-Food

fake-DHW-Food

Food Data Warehouse and Data Analysis

Technologies: faker, python, sql server , sql server analysis services , excel,Reporting

Description

A project focused on creating a data warehouse for Tunisian food data using Faker to generate sample data. The data is centralized into a database and organized into an OLAP cube for efficient analysis. The final step involves visualizing the data for insightful analysis and reporting

Key Features

1. Generate Data Warehouse with Faker: Use Python and Faker library to generate sample data for the food data warehouse.

2. Import Data to SQL Server Database: Import the generated data into an SQL Server database for storage and management.

3. Connect to SSAS and Create OLAP Cube: Connect to SQL Server Analysis Services (SSAS) and create an OLAP cube for data analysis.

4. Create Customized Date Dimension: Design and implement a customized date dimension and relate it to the fact table.

5. Process Cube: Process the OLAP cube to ensure data is up-to-date and ready for analysis.

6. Test with Excel: Test the OLAP cube and data integration using Excel for initial validation.

7. Visualize with Customized Tool: Use my customized development tool to create smooth and insightful reports for data visualization.