Connect Google Cloud Storage to Qlik Cloud Analytics: Dashboards in Minutes

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Google Cloud Storage
Qlik Cloud Analytics

Visualize Google Cloud Storage Data in Qlik Cloud Analytics

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.

Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required

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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Google Cloud Storage data available in Qlik Cloud Analytics

1
available pipeline
8
extractable fields

Available integrations

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.
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

How to create Google Cloud Storage dashboards in Qlik Cloud Analytics

Visualize your data automatically — no spreadsheet exports or custom scripts.

1
Connect Google Cloud Storage

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.

2
Choose Qlik Cloud Analytics

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.

3
Configure Refresh and Build

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.

Access Google Cloud Storage data in Qlik Cloud Analytics and combine it with dozens of other data sources

If the source you want is not listed, drop us a chat message. We love to add new sources!

Visualize Google Cloud Storage data in other BI tools

If the software you need is not listed, drop us a messagem. You can use almost every tool

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Frequently Asked Questions (FAQ)

Answers about visualizing Google Cloud Storage data in Qlik Cloud Analytics automatically

How do I connect Google Cloud Storage to Qlik Cloud Analytics using Kondado?
Start by adding Google Cloud Storage as a data source in your Kondado account, then authenticate with your Google credentials. Select the CSV pipeline to define which file metadata and contents you want to replicate. Finally, choose Qlik Cloud Analytics as your destination and map the fields to your preferred dashboard structure.
What update frequency options are available for Google Cloud Storage data in Qlik?
Kondado lets you configure automated updates on a schedule that fits your business needs, ranging from every five minutes to daily intervals. You can adjust these settings anytime based on how frequently your files change. This ensures your Qlik dashboards reflect recent file modifications without requiring manual refreshes or complex scheduling tools.
Can I build dashboards to track file delivery times and data freshness?
Yes, using the CSV pipeline fields like __kdd_insert_time and file modification dates, you can create visualizations that show exactly when files arrive in your storage buckets. Operations teams often build reports that highlight delayed deliveries or missing files, enabling proactive management of data dependencies and ensuring reports always use current information.
Is there a pre-built report template for Google Cloud Storage analytics in Qlik?
Kondado does not offer pre-built report templates for this data source, giving you the flexibility to design custom dashboards that match your specific business requirements. You can build visualizations focused on file tracking, storage metrics, or data lineage based on the CSV pipeline fields available. This custom approach ensures your reports address the exact KPIs your team needs to monitor.
How can I share Google Cloud Storage dashboards with my team in Qlik Cloud Analytics?
Once you build your dashboards in Qlik Cloud Analytics, use the platform's built-in sharing features to distribute reports to stakeholders across your organization. Your teammates can view file tracking metrics and storage insights without needing access to the underlying Kondado configuration. This keeps everyone aligned on data availability and file status updates.
What specific KPIs can I track from Google Cloud Storage files in Qlik?
You can monitor file arrival patterns, track the age of specific datasets using modification timestamps, and analyze file naming conventions through the __file_basename field. Many teams track the time between expected and actual file deliveries to measure data pipeline health. These metrics help ensure critical business files are available when needed for reporting and analysis.
Can I send Google Cloud Storage data to other tools besides Qlik Cloud Analytics?
Absolutely, Kondado supports multiple destinations including Power BI, Looker Studio, Google Sheets, and BigQuery. You can replicate the same CSV pipeline data to different platforms simultaneously, ensuring consistent file tracking across your entire analytics stack without duplicate manual work.
Do I need technical skills to set up the Google Cloud Storage connection?
No coding or technical expertise is required to connect your storage buckets. The setup process uses a simple point-and-click interface where you select the CSV pipeline and specify your bucket details. Business users can complete the configuration independently, without waiting for IT support or engineering resources.

Try out all the features for free for 14 days