📅 2025-02-17 — Session: Graph and Data Infrastructure Planning
🕒 00:00–02:30
🏷️ Labels: Graph Databases, Data Infrastructure, Neo4J, Web Crawling, Ai Workflows
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session focused on planning and designing graph databases and data infrastructure to enhance data management and AI workflows.
Key Activities
- Discussed graph traversal queries using SPARQL and Cypher for embedding and property graph models.
- Outlined a property graph schema for managing contact networks.
- Planned a scalable system for tracking interactions and relationships over time.
- Designed a data processing pipeline for Neo4j, including data ingestion and cleaning.
- Explored strategies for effective web crawling and institutional mapping.
Achievements
- Developed a comprehensive plan for implementing graph databases and data pipelines.
- Identified key strategies for web crawling and institutional mapping.
Pending Tasks
- Implement the designed data processing pipeline and graph schema.
- Integrate AI workflows for autonomous data management.