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Connect your Google Cloud Storage files to Qlik Cloud Analytics without writing code or managing complex infrastructure. Kondado offers a direct connection that lets business teams access CSV and JSON data stored in Google Cloud and transform it into actionable visualizations. Simply select your files, choose how often you want updates ranging from every five minutes to daily, and start building reports that help you track file modifications, monitor storage patterns, and analyze data freshness across your organization.
Kondado connects Google Cloud Storage to Qlik Cloud Analytics through a Via Kondado connection, eliminating the need for intermediate databases or technical setup while replicating your file metadata and contents on a configurable schedule.
Marketing and operations teams can monitor file delivery patterns, track when specific CSV files were last modified, and analyze storage contents without relying on IT departments. This streamlined approach ensures your Qlik dashboards always reflect the latest information from your cloud storage, enabling faster decision-making based on current file data and eliminating manual data preparation tasks that slow down business insights.
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The CSV pipeline brings file metadata and content from your Google Cloud Storage buckets directly into Qlik Cloud Analytics, capturing details like file paths, basenames, and modification timestamps. Business teams can use this information to build dashboards that track data arrival times, monitor file sizes, and verify when specific datasets were last updated. These insights help operations managers ensure data freshness across their storage environment, identify delays in file delivery that might impact downstream reporting, and maintain visibility over which files are available for business processes at any given moment.
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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 by entering your bucket details and authenticating with your Google account. Select the CSV pipeline to choose which file metadata and contents you want to replicate into your analytics environment.
Select Qlik Cloud Analytics as your destination platform from the available options, which also include Power BI and Looker Studio. This establishes the pathway for your file data to flow directly into your visualization tool without intermediate storage.
Set your preferred update frequency from five minutes to daily intervals, then start building custom dashboards that track file arrivals and storage metrics. Your reports will stay current automatically based on the schedule you configured, ensuring teams always see the latest file information.
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Try out all the features for free for 14 days