📅 2025-02-28 — Session: Implemented BigQuery and PostgreSQL data management
🕒 00:15–23:50
🏷️ Labels: Bigquery, Postgresql, Data Management, CRM, Education
📂 Project: Teaching
⭐ Priority: MEDIUM
Session Goal: The session aimed to provide instructions and implement solutions for managing data access and processing in BigQuery and PostgreSQL environments, focusing on educational and CRM optimization purposes.
Key Activities:
- Developed step-by-step guides for querying census data in BigQuery and granting public access to datasets for student use.
- Implemented IAM permissions adjustments to ensure datasets are publicly accessible.
- Outlined procedures for testing public access to BigQuery datasets.
- Provided instructions for extracting and storing JSONB fields in PostgreSQL, including automation through triggers.
- Corrected timestamp parsing issues in PostgreSQL and improved JSONB data insertion scripts.
- Developed a robust email import script for PostgreSQL, enhancing error handling and batch processing.
- Planned exploratory data analysis for email datasets to gain insights into communication patterns.
- Provided instructions for installing psycopg2 for PostgreSQL and requested dataset uploads for further processing.
- Analyzed email datasets for CRM management, focusing on key metrics and suggesting improvements for follow-up processes.
Achievements:
- Successfully created and documented processes for public data access in BigQuery and data extraction in PostgreSQL.
- Enhanced email data import and analysis capabilities, providing actionable insights for CRM optimization.
Pending Tasks: