Connect Google Cloud Storage to Amazon Quicksight: Dashboards in Minutes

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Google Cloud Storage
Amazon Quicksight

Visualize Google Cloud Storage Data in Amazon Quicksight

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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Google Cloud Storage data available in Amazon Quicksight

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 Amazon Quicksight

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

1
Connect Google Cloud Storage

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.

2
Select Amazon Quicksight destination

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.

3
Build dashboards and configure refresh

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.

Access Google Cloud Storage data in Amazon Quicksight 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

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Frequently Asked Questions (FAQ)

Answers about visualizing Google Cloud Storage data in Amazon Quicksight automatically

How do I connect Google Cloud Storage to Amazon Quicksight without coding?
Start by adding Google Cloud Storage as a data source in your Kondado account using your Google Cloud credentials. Select Amazon Quicksight as your destination and choose the CSV pipeline to begin replicating file metadata automatically. The entire setup requires no SQL knowledge or API configuration, allowing business users to complete the connection in minutes.
What file information can I track in Amazon Quicksight from Google Cloud Storage?
The CSV pipeline provides access to eight fields including __file_basename, __file_path, and __kdd_insert_time, enabling you to monitor file names, storage locations, and exact modification timestamps. This allows you to track document arrival patterns, organize content by folder structure, and identify stale files that need attention in your operational workflows.
How often does the data update in Amazon Quicksight from Google Cloud Storage?
Kondado updates your data on a configurable schedule that you control, ranging from every 5 minutes for near-real-time monitoring to hourly or daily intervals for periodic reporting. You can adjust these frequencies based on your business needs, ensuring your Amazon Quicksight dashboards reflect the most current file activity without manual refreshes.
What business decisions can I make with Google Cloud Storage data in Amazon Quicksight?
You can optimize data ingestion workflows by identifying peak file arrival times, audit storage organization by analyzing path structures, and ensure data freshness by tracking __kdd_insert_time across your buckets. These insights help operations teams allocate resources efficiently and maintain quality control over incoming files.
Can I share Amazon Quicksight dashboards with my team using Kondado data?
Once your data flows into Amazon Quicksight, you can distribute reports to stakeholders using the platform's built-in sharing features while Kondado maintains the automated data refresh schedule in the background. Your team accesses current file tracking information without needing direct access to Google Cloud Storage or the Kondado interface.
Do I need to create a database to store Google Cloud Storage data before visualizing?
No intermediate database is required when using Kondado's direct connection, as data replicates straight from Google Cloud Storage into Amazon Quicksight via the "Via Kondado" method. This eliminates infrastructure costs and maintenance overhead, allowing you to visualize file metadata immediately without technical setup.
What are the specific fields available when replicating Google Cloud Storage to Amazon Quicksight?
The CSV pipeline includes eight fields such as __file_basename for document identification, __file_path for location tracking, and __kdd_insert_time for synchronization timestamps. These metadata points enable comprehensive file lifecycle monitoring directly within your business intelligence environment.

Try out all the features for free for 14 days