Install DVT
Create database connections
Validate data through command line (schema, column, and row level)
Run validations using a YAML config file and generate validation reports
This is a self-paced lab that takes place in the Google Cloud console. Data validation is a critical step in data warehouse, database, or data lake migration. DVT prints results in the command line interface by default, but can also write results to BigQuery. It is recommended to use BigQuery as a report handler to store and analyze the output.
Database (DBMS)
Data Management
Cloud Computing
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