Parquet File to Google BigQuery Integration
AI-first ETL from Parquet File into Google BigQuery. Governed entities, incremental sync, typed landing tables.
How Datrise loads Parquet File into Google BigQuery
Datrise syncs Parquet File's row groups, columns, schemas, partitions, file batches, and column statistics into Google BigQuery as a partitioned table per source entity. Flexible or custom fields land in JSON or nested/repeated (STRUCT) columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP.
Sync is incremental: Datrise uses appends to a staging table, then MERGE on stable id into the partitioned target, so re-runs update only what changed. Partition by ingestion or event date and cluster by entity id to keep scanned bytes low. BigQuery bills by bytes scanned, so Datrise partitions and clusters every table to keep query costs predictable.
Ideal for Google-stack analytics and ML on serverless infrastructure.
Endpoints
Parquet File: Columnar Parquet files from lakes and exports.
Google BigQuery: Serverless analytics warehouse on GCP.
How Parquet File entities map to Google BigQuery
| Parquet File entity | Google BigQuery object | Notes |
|---|---|---|
| row groups | parquet_file_row_groups | id PK · custom fields → JSON or nested/repeated (STRUCT) columns |
| columns | parquet_file_columns | id PK · linked to parquet_file_row_groups |
| schemas | parquet_file_schemas | id PK · linked to parquet_file_row_groups |
| partitions | parquet_file_partitions | id PK · linked to parquet_file_row_groups |
FAQ
How does Datrise handle Parquet File's custom fields in Google BigQuery?
Flexible values are stored as JSON or nested/repeated (STRUCT) columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Google BigQuery types.
How does the Parquet File to Google BigQuery sync stay up to date?
It runs incrementally — Datrise uses appends to a staging table, then MERGE on stable id into the partitioned target.
Related pipelines
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Early access
Connect Parquet File to Google BigQuery the easy way
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