Which method would be most appropriate for ingesting a large historical dataset from an on-premises relational database into watsonx.data?

Bulk historical data migration from relational databases is best handled by ETL tools (DataStage) or Spark JDBC jobs that extract data in parallel batches; transform as needed; and write optimized Iceberg/Parquet files. The incorrect options ("Real-time Kafka streaming with micro-batch Spark consumers", "Pointing Presto directly at the on-premises database and running INSERT INTO ... SELECT statements", "Manually exporting CSV files and dragging them into the watsonx.data UI") are distractors that don't fully capture the concept described.