Welcome to the retail_project! This application helps you manage retail data seamlessly using a combination of Azure, Apache Atlas, and Power BI. No technical expertise is needed to get started. Follow these steps to download and run the software.
- Visit this page to download.
- On the Releases page, you will see several versions listed. Click on the latest version to view its details.
- Locate the section titled "Assets" to find downloadable files.
- Download the file that matches your operating system (Windows, Mac, or Linux). For most users, the Windows version is recommended.
- Once the file downloads, locate it in your downloads folder (or the location you saved it) and double-click to run the installer.
Follow the onscreen instructions to complete the installation process.
Before you install the software, make sure your system meets these requirements:
- Operating System: Windows 10 or later, MacOS Mojave or later, or a recent version of Linux.
- RAM: At least 4 GB for optimal performance.
- Storage: Minimum of 500 MB of free disk space.
- Network: Active internet connection for features that require online access.
The retail_project offers several key features:
- Data Integration: Connect and integrate data from various sources easily.
- Governance Tools: Use Apache Atlas for data governance and metadata management.
- Visual Analytics: Create and share powerful visual reports using Power BI.
- User-Friendly Interface: The application is designed for ease of use, with a clear and straightforward layout.
- Secure Storage: Store your data safely in Azure Blob Storage.
Once you have installed the software, follow these steps to start managing your retail data:
- Open the Application: Launch the retail_project from your applications folder.
- Set Up Your Account: Follow the signup process to create your account. This will allow you to save your data and access it from anywhere.
- Import Data:
- Click on "Import Data."
- Choose the file type you want to upload (CSV, JSON, etc.).
- Follow the prompts to complete the import process.
- Analyze Data: Use the built-in tools to analyze and visualize your data. Explore features like charts, reports, and dashboards.
If you need more detailed instructions, check the documentation available within the application. You can also visit our Wiki page on GitHub for more comprehensive guides and FAQs.
If you encounter any issues or have questions, please feel free to reach out via the GitHub issues page. We are here to help and want to ensure you have a smooth experience.
Join our community of users and contributors! Share your experiences, tips, and tricks on platforms like GitHub Discussions or visit our dedicated forum. Engaging with others can enhance your knowledge and provide solutions to common challenges.
Thank you for using retail_project! We hope it makes your retail data management easier and more accessible.