expanso-db2-to-bigquery

Migrates financial transactions from DB2 to partitioned BigQuery tables via ODBC.

1|Updated Feb 1, 2026
One-click install
npx skills add https://github.com/expanso-io/expanso-skills --skill expanso-db2-to-bigquery
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: expanso-db2-to-bigquery
Source: https://github.com/expanso-io/expanso-skills/tree/main/skills/recipes/db2-to-bigquery
Command: npx skills add https://github.com/expanso-io/expanso-skills --skill expanso-db2-to-bigquery

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates the migration of financial transactions from a DB2 database to Google BigQuery, including essential data transformations and compliance masking.

Core Features & Use Cases

  • Data Migration: Moves data from on-premise DB2 to cloud-based BigQuery.
  • Data Transformation: Normalizes currency, masks sensitive account information, and categorizes transactions.
  • Compliance: Ensures sensitive data is handled securely during migration.
  • Use Case: Automate the nightly batch migration of financial transactions from your on-premise DB2 system to BigQuery for enhanced analytics and reporting.

Quick Start

Run the DB2 to BigQuery migration pipeline using the provided script.

Frequently Asked Questions about expanso-db2-to-bigquery

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I migrate financial transactions from DB2 to BigQuery?

Migrating financial transactions from DB2 to BigQuery involves extracting data via SQL queries over an ODBC connection, then applying currency normalization, account masking, and transaction categorization before loading results into a partitioned BigQuery table.

Does DB2 to BigQuery data migration support automated compliance masking?

Yes, DB2 to BigQuery data migration supports automated compliance masking by securely masking sensitive account information during the transfer. This ensures that financial data handled during the pipeline migration remains compliant and protected in the cloud environment.

Can I use SQL queries to extract DB2 financial data for BigQuery migration?

Yes, you can use SQL queries to extract DB2 financial data for BigQuery migration. The pipeline supports executing SQL queries against DB2 via an ODBC connection, allowing you to select specific financial transactions for transformation and cloud loading.

What data transformations are applied during DB2 to BigQuery financial data migration?

During DB2 to BigQuery financial data migration, the applied transformations include currency normalization, account number masking, and transaction categorization. These transformations ensure data lineage and compliance while preparing financial transactions for analytics in a partitioned BigQuery table.

What is the best way to automate nightly batch migration of financial transactions to BigQuery?

The best way to automate nightly batch migration of financial transactions to BigQuery is to use a scheduled pipeline script that connects to DB2 via ODBC. This automates extracting, transforming, and loading data into partitioned BigQuery tables for enhanced analytics and reporting.