Developed Data Ingestion and Triage Systems

2 min read

📅 2024-10-02 — Session: Developed Data Ingestion and Triage Systems

🕒 03:30–04:10
🏷️ Labels: Data Ingestion, Keyword Extraction, Classification, Automation, Sqlite
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The goal of this session was to develop a comprehensive data ingestion pipeline that integrates keyword extraction and classification to efficiently organize data from various sources, such as RSS feeds and emails, and route it to AI agents or databases.

Key Activities

  • Developed a NewsDataCollector for parsing news into a SQLite database.
  • Planned and designed a triage system for data classification, integrating keyword extraction.
  • Outlined an email processing system to detect new messages and perform triage for metadata extraction.
  • Addressed a query timeout issue during email processing, suggesting alternative approaches for data loading.
  • Provided Python code snippets for loading email data from a SQLite database into a Pandas DataFrame for further analysis.

Achievements

  • Successfully developed the initial framework for a data ingestion pipeline with keyword extraction and classification capabilities.
  • Designed a structured approach for a triage system to route data based on document types and keywords.

Pending Tasks

  • Enhance data handling workflows for the NewsDataCollector.
  • Implement the designed triage system and email processing functionalities.
  • Resolve query timeout issues with alternative data loading strategies.

Graph View

Backlinks