Implemented BigQuery and PostgreSQL data management

• Day: 2025-02-28
• Time: 00:15 to 23:50
• Project: Teaching
• Workspace: WP 1: Strategic / Growth & Development
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Bigquery, Postgresql, Data Management, CRM, Education

Description

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:

• Upload necessary datasets in CSV or JSON format for further analysis and processing.

Evidence

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• event_ids: []