📅 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.