Connect Google Cloud Storage to Looker: Dashboards in Minutes

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Google Cloud Storage
Looker

Visualize Google Cloud Storage Data in Looker

Want to turn your cloud file storage into actionable business intelligence? Kondado makes it simple to visualize Google Cloud Storage data in Looker without any technical setup or intermediate databases. Our direct connection lets you replicate CSV files and other objects stored in your buckets directly into Looker for analysis. Business teams can track file modifications, monitor storage usage patterns, and analyze document metadata to optimize their data operations. Configure your data refresh to run every few minutes or daily, ensuring your reports reflect the latest information.

Kondado connects Google Cloud Storage to Looker via a direct integration that requires no intermediate databases or complex configuration, allowing business users to replicate file data on a configurable schedule and build reports that update automatically.

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

With Kondado’s connection, your Google Cloud Storage CSV files transform into structured insights within Looker. The CSV pipeline reveals critical file metadata including __file_basename, __file_path, and __kdd_insert_time, helping operations teams track document locations and modification history across storage buckets. Business users can analyze upload patterns and delivery schedules to optimize content distribution workflows, while marketing teams verify campaign asset availability and agencies confirm client file deliveries without manual checking.

Try out all the features for free for 14 days

Google Cloud Storage data available in Looker

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 Looker

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

1
Connect Google Cloud Storage

Log into Kondado and select Google Cloud Storage as your data source, then authenticate with your Google Cloud credentials to establish the connection.

2
Choose Looker as destination

Select Looker from the available destinations and configure the CSV pipeline to replicate your file metadata, including paths and modification timestamps.

3
Configure refresh and build dashboards

Set your preferred update frequency, then build custom reports in Looker using the replicated file data to track storage metrics and document workflows.

Access Google Cloud Storage data in Looker 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 Looker automatically

How do I connect Google Cloud Storage to Looker without any coding?
Start by selecting Google Cloud Storage as your data source in Kondado, then authenticate with your Google Cloud credentials. Choose Looker as your destination and select the CSV pipeline to begin replicating your file metadata automatically.
What file information can I monitor in Looker dashboards from Google Cloud Storage?
The CSV pipeline includes fields like __file_basename, __file_path, and __kdd_insert_time, allowing you to track file names, storage locations, and exact modification times. This helps operations teams monitor document availability and track when specific assets were added or updated.
How frequently can I schedule updates for my Google Cloud Storage data in Looker?
Kondado lets you configure automated updates to run every 5 minutes, 15 minutes, hourly, or daily based on your business needs. This ensures your Looker reports reflect recent file changes without requiring manual refreshes or complex scheduling.
What types of business decisions can I make with Google Cloud Storage visualizations in Looker?
Marketing teams can verify campaign asset delivery times, while operations managers can identify delays in file uploads and optimize storage organization. Agencies use these insights to confirm client deliverables reach cloud storage on schedule and maintain service level agreements.
Can I share Looker dashboards built from Google Cloud Storage data with stakeholders?
Yes, once you build reports in Looker, you can share them with team members, clients, or executives through Looker's native sharing features. Your stakeholders will see current file status and metadata without needing access to the underlying Google Cloud Storage buckets.
Do I need to set up a database between Google Cloud Storage and Looker?
No, Kondado provides a direct integration that connects your storage buckets straight to Looker without requiring intermediate databases. This simplifies your architecture and gets you from files to insights faster.

Try out all the features for free for 14 days