Implemented BigQuery Table and Troubleshooting Workflow

• Day: 2025-02-27
• Time: 21:30 to 21:55
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Bigquery, Google Cloud, Data Loading, Troubleshooting

Description

Session Goal

The primary objective of this session was to create a BigQuery table for census data stored in Google Cloud Storage, troubleshoot command line issues, and manage data access permissions.

Key Activities

• BigQuery Table Creation: Followed a structured guide to enable the BigQuery API, create a dataset, load data from CSV files, and verify the table’s creation.
• Troubleshooting bq Command: Addressed issues with the bq command not being recognized, including installation and authentication steps.
• Data Upload Verification: Checked the status of a BigQuery table after an interrupted CSV upload and reattempted the upload if necessary.
• Data Access Management: Detailed steps were taken to share and query data in BigQuery, including setting permissions and using SQL for data access.

Achievements

• Successfully created and verified a BigQuery table for census data.
• Resolved command line issues with the bq command.
• Established procedures for granting data access without changing the project settings.

Pending Tasks

• Further optimization of data loading processes by converting CSV to Parquet for efficiency.
• Continuous monitoring and troubleshooting of data upload issues as they arise.

Evidence

• source_file=2025-02-27.sessions.jsonl, line_number=5, event_count=0, session_id=96147f140c6a9b76f1d9b5ddb2f8e69ebff5a2cf0ffcbe8826ef7d070db8d77f
• event_ids: []