Optimized BigQuery and Backup Storage Management

• Day: 2025-02-27
• Time: 16:20 to 17:45
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Bigquery, Backup Management, Data Optimization, Cloud Storage, Disk Cleanup

Description

Session Goal

The session aimed to optimize data storage and management strategies, focusing on BigQuery and backup directories.

Key Activities

• Explored storage costs and strategies for BigQuery and Google Cloud Storage (GCS), emphasizing efficient data management and cost reduction.
• Implemented optimization techniques for storing and querying large datasets in BigQuery using Parquet format and external tables.
• Developed a systematic approach for reorganizing and cleaning up data storage, including merging old backups and identifying redundant files.
• Diagnosed and resolved disk space discrepancies in backup directories, employing command-line tools for efficient analysis.
• Executed a comprehensive cleanup plan for the French_exporters project directory, addressing duplicate files and optimizing disk space usage.
• Utilized [[git]] filter-repo for Git history cleanup, ensuring repository efficiency.

Achievements

• Successfully outlined strategies for cost-effective data management in BigQuery and GCS.
• Completed a detailed plan for backup cleanup and optimization, expected to recover significant disk space.
• Enhanced the French_exporters project directory by removing unnecessary files and compressing datasets.

Pending Tasks

• Further investigate and implement additional cost-saving measures in cloud storage.
• Continue monitoring and optimizing backup directories to maintain efficient storage.

Evidence

• source_file=2025-02-27.sessions.jsonl, line_number=1, event_count=0, session_id=4543f774a26cb9b587556f6897f25e9da2d663d2a2f0f67dd8aadfa14ce79f03
• event_ids: []