PostgreSQL and Email Data Processing Enhancements

📅 2025-02-28 — Session: PostgreSQL and Email Data Processing Enhancements

🕒 22:45–23:50
🏷️ Labels: Postgresql, JSONB, Email Analysis, CRM, Data Import, Python
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to enhance the processing and analysis of email data using PostgreSQL, focusing on JSONB fields, timestamp parsing, and robust data import scripts.

Key Activities

• Extracting and Storing JSONB Fields: Created a new email_details table in PostgreSQL to store JSONB fields from the emails table, including automation through triggers.
• Correcting Timestamp Parsing: Adjusted the PostgreSQL to_timestamp() function for accurate email timestamp parsing.
• Robust Email Import Script: Developed a Python script for batch processing emails into PostgreSQL, addressing error handling for untranslatable characters and malformed JSON.
• Improved JSONB Insertion Script: Enhanced a Python script for inserting JSONB data into PostgreSQL, focusing on null byte issues and transaction handling.
• EDA Plan for Email Dataset: Outlined a comprehensive exploratory data analysis plan for the email dataset.
• CRM Email Dataset Insights: Analyzed email data to optimize CRM management, focusing on engagement and follow-up improvements.

Achievements

• Successfully set up and automated JSONB field extraction and storage in PostgreSQL.
• Improved data import processes with robust error handling and batch processing.
• Developed a structured EDA plan to gain insights into email communication patterns.
• Identified actionable improvements for CRM management through email data analysis.

Pending Tasks

• Upload the dataset in CSV or JSON format for further processing as requested.