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How to visualize Google Cloud Storage data in Metabase? Kondado offers a direct connection that replicates your CSV files and object data from Google Cloud Storage directly into Metabase without requiring complex setup or intermediate databases. Business teams can access file metadata, track modification dates, and analyze stored information through intuitive charts and dashboards. Configure automated updates on a schedule that fits your business needs, whether every 15 minutes or daily, ensuring your reports always reflect the latest data. Marketing and operations teams gain immediate visibility into file storage patterns and data freshness without writing a single line of code.
Kondado connects Google Cloud Storage to Metabase using a Via Kondado connection with no intermediate databases required, enabling business users to visualize CSV file metadata and track file changes on a configurable schedule.
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Combining Google Cloud Storage with Metabase through Kondado unlocks powerful monitoring capabilities for your file-based workflows. The CSV pipeline captures file metadata including __file_basename, __file_path, and __kdd_insert_time, enabling you to track when partner data files arrive and monitor storage organization patterns. Business users can create dashboards showing file modification trends, identify delayed data deliveries, and verify that marketing campaign files or sales reports are updated on schedule. This visibility ensures your teams always work with current information and can quickly spot anomalies in data delivery timelines.
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| Integration | Description |
|---|---|
| CSV | Table includes information about CSV files, featuring fields such as __file_basename, __file_path, and __kdd_insert_time, enabling tracking of the modification date and value of each file. |
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Visualize your data automatically — no spreadsheet exports or custom scripts.
Add Google Cloud Storage as a data source in Kondado and select the CSV pipeline to begin replicating your file metadata and storage information.
Choose Metabase as your visualization tool, or alternatively route data to BigQuery or PostgreSQL if your workflow requires database storage before visualization.
Set your update frequency from 5 minutes to daily intervals, then create reports in Metabase. You can also send the same data to Google Sheets for spreadsheet-based analysis alongside your dashboards.
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Try out all the features for free for 14 days