📅 2025-01-31 — Session: Organized and Automated Data Management Systems
🕒 14:30–19:10
🏷️ Labels: Data Management, Automation, Workflow, Metadata, Supabase
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to enhance data management systems through improved categorization, workflow alignment, and automation strategies.
Key Activities
- Categorization of Books by Professional Roles: Developed structured categorizations for books to improve accessibility for Data Science, Software Engineering, Cloud Engineering, and Business Analysis professionals.
- Folder Structure Optimization: Planned and executed enhancements to folder organization and workflow alignment for various document types, including Accounting, Academic, Econ Blog, Learning, and Teaching.
- PDF Processing Workflow Proposal: Provided a detailed workflow for a PDF processing script, focusing on automation and vectorstore management.
- Chunk Management Strategy: Outlined a strategy for managing chunked data, emphasizing metadata management and directory monitoring.
- Comparison of RAPTORMethod and Other Systems: Compared different systems focusing on metadata, chunk management, and embedding storage.
- Metadata Storage and Preprocessing with Supabase: Designed metadata storage and preprocessing workflows using Supabase, including SQL schema design for ‘files’ and ‘chunks’ tables.
- Automated Data Processing Workflows: Developed scripts and workflows for automating raw data processing using Python, Celery, and Airflow.
Achievements
- Established a structured framework for book categorization by professional roles.
- Enhanced folder structures for better workflow alignment.
- Proposed effective workflows for PDF processing and chunk management.
- Designed comprehensive metadata storage systems using Supabase.
- Developed automation scripts for data processing workflows.
Pending Tasks
- Implement the proposed workflows for PDF processing and chunk management.
- Finalize the integration of automation scripts into existing systems.