Parquet File to Spotfire Integration
AI-first ETL from Parquet File into Spotfire. Governed entities, incremental sync, typed landing tables.
How Datrise loads Parquet File into Spotfire
Datrise syncs Parquet File's row groups, columns, schemas, partitions, file batches, and column statistics into Spotfire as warehouse tables or in-memory data for Spotfire analyses. Flexible or custom fields land in flattened columns for visualizations, and timestamps such as created, updated, and status changes are typed as date/time columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables or in-memory data, so re-runs update only what changed. Date-partitioned facts. Spotfire can load data in-memory, so Datrise keeps the backing tables incremental so analyses refresh without full reloads.
Ideal for interactive analytical visualization and data science.
Endpoints
Parquet File: Columnar Parquet files from lakes and exports.
Spotfire: Visual analytics platform for interactive dashboards and data science workflows.
How Parquet File entities map to Spotfire
| Parquet File entity | Spotfire object | Notes |
|---|---|---|
| row groups | parquet_file_row_groups | id PK · custom fields → flattened columns for visualizations |
| 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 Spotfire?
Flexible values are stored as flattened columns for visualizations, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Spotfire types.
How does the Parquet File to Spotfire sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables or in-memory data.
Related pipelines
More destinations for Parquet File
- Parquet File → Yellowfin
- Parquet File → PostgreSQL
- Parquet File → MySQL
- Parquet File → Microsoft SQL Server
- Parquet File → Oracle Database
- Parquet File → Snowflake
- Parquet File → Google BigQuery
- Parquet File → Amazon Redshift
- Parquet File → Databricks SQL Warehouse
- Parquet File → ClickHouse
- Parquet File → DuckDB
- Parquet File → Amazon Athena
Early access
Connect Parquet File to Spotfire the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.