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Kondado provides a direct way to replicate your Google Cloud Storage files into Amazon Quicksight for immediate business intelligence and operational visibility. Simply connect your Google Cloud Storage account as a data source, select Amazon Quicksight as your destination, and choose which CSV files you want to analyze for your reports. Your data flows directly without intermediate databases or complex technical setup, allowing business teams to focus on insights rather than infrastructure management or manual file handling.
Once connected, marketing and operations teams can monitor file delivery patterns, track data ingestion timestamps, and analyze storage contents through interactive dashboards in Amazon Quicksight. This enables faster decision-making regarding data workflows, content management, and operational efficiency without waiting for technical teams to prepare reports manually or export files repeatedly from your cloud storage.
Kondado’s direct connection replicates Google Cloud Storage CSV data into Amazon Quicksight on a configurable schedule ranging from every 5 minutes to daily, enabling near-real-time tracking of file modifications, paths, and metadata without requiring engineering resources or manual data preparation.
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With the CSV pipeline available from Google Cloud Storage, you can visualize file metadata including __file_basename, __file_path, and __kdd_insert_time directly in Amazon Quicksight. Operations managers can track when files arrive, monitor naming conventions across buckets, and identify processing delays by analyzing modification timestamps. Business teams gain immediate visibility into their cloud storage activity, transforming raw file logs into actionable operational intelligence. This supports inventory management, data quality monitoring, and workflow optimization decisions while eliminating the need for manual spreadsheet manipulation or complex query writing.
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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. |
Try out all the features for free for 14 days
Visualize your data automatically — no spreadsheet exports or custom scripts.
Log into Kondado and add Google Cloud Storage as a data source by authenticating with your Google Cloud credentials. Select the CSV pipeline to access file metadata including __file_basename and __file_path for your reports.
Choose Amazon Quicksight as your destination to establish the direct data flow from your storage buckets. You can also send the same data to Power BI or Looker Studio if your team uses multiple business intelligence tools.
Create custom reports in Amazon Quicksight using the file metadata fields to track storage activity and operational metrics. Set your preferred update frequency from 5 minutes to daily to keep reports current automatically.
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Try out all the features for free for 14 days