📅 2024-12-11 — Session: WhatsApp Data Extraction and Graph Database Integration
🕒 20:40–21:00
🏷️ Labels: Whatsapp, Data Extraction, Graph Database, Neo4J, Decryption, Ubuntu
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The goal of this session was to develop a comprehensive process for extracting data from WhatsApp backups and integrating it into a graph database for relationship mapping.
Key Activities
- Extracting Insights from WhatsApp Backups: Developed a guide for extracting data from WhatsApp backups and structuring it for analysis.
- Graph Ingestion of WhatsApp Data: Created a workflow for ingesting WhatsApp chat data into a graph database using Neo4j and Cypher queries.
- Extracting WhatsApp Backup Instructions: Provided instructions tailored to different phone types and operating systems for extracting WhatsApp backups.
- Guide to Extracting WhatsApp Backup on Ubuntu: Compiled a step-by-step guide for extracting and decrypting WhatsApp backups on Ubuntu systems.
- Decrypting WhatsApp Backup on Ubuntu: Detailed the process of decrypting WhatsApp backups on Ubuntu, including necessary tools and steps.
Achievements
- Successfully outlined processes for data extraction and ingestion into a graph database.
- Developed guides for both technical and non-technical users to extract WhatsApp backups.
Pending Tasks
- Further testing and validation of the extraction and decryption processes on various systems.
- Optimization of Cypher queries for better performance in data ingestion.
Tags
WhatsApp, Data Extraction, Graph Database, Neo4j, Decryption, Ubuntu