Connect Amazon S3 to Looker: Dashboards in Minutes

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Amazon S3
Looker

Visualize Amazon S3 Data in Looker

Looking to turn your Amazon S3 file storage into actionable business intelligence? Kondado helps you visualize Amazon S3 data in Looker without complex technical setup or intermediate databases. Simply connect your S3 buckets as a data source, select Looker as your destination, and start building dashboards that help your team make faster decisions.

With Kondado, you can replicate CSV files and other stored data on a configurable schedule, ensuring your reports always reflect the latest information. Whether you need updates every 15 minutes or daily summaries, you control exactly when your data refreshes.

Kondado provides a direct connection between Amazon S3 and Looker, enabling business teams to access stored file data and build custom dashboards without writing code or managing databases.

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

Your CSV Files pipeline brings structured data from Amazon S3 directly into Looker, turning static file storage into dynamic business intelligence. Marketing teams can visualize campaign performance metrics stored in S3 buckets, while operations managers monitor sales logs or inventory files without manual downloads.

By replicating this data on a configurable schedule, you ensure your Looker dashboards always display current information for trend analysis and quick decision-making. Whether tracking specific file prefixes or analyzing data across different date ranges, your team gets visual insights that keep pace with your business needs.

Try out all the features for free for 14 days

Dynamic data

Kondado automatically reads the schema of your Amazon S3. All tables, views, and fields available in your account are extracted without manual configuration.

1
available pipeline

What Kondado extracts

CSV Files
Includes fields such as Start reading date, Column delimiter, and File prefix, enabling efficient data reading and organization.
Integration Description
CSV Files Includes fields such as Start reading date, Column delimiter, and File prefix, enabling efficient data reading and organization.

Try out all the features for free for 14 days

How to create Amazon S3 dashboards in Looker

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

1
Connect Amazon S3 as data source

Add Amazon S3 to your Kondado account by providing your bucket details and authentication credentials to establish the data source.

2
Select Looker as destination

Choose Looker from the available destinations to receive your replicated data, creating a direct path from your S3 files to your visualization environment.

3
Configure refresh and build dashboards

Set your preferred update schedule, then start building custom dashboards in Looker that visualize your CSV Files data for immediate business insights.

Access Amazon S3 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 Amazon S3 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 Amazon S3 data in Looker automatically

How do I connect Amazon S3 to Looker without a data warehouse?
Kondado provides a direct connection between Amazon S3 and Looker, eliminating the need for intermediate databases or complex infrastructure. You simply authorize your S3 buckets as a data source and select Looker as your destination to start replicating data.
What types of dashboards can I build with Amazon S3 data in Looker?
You can create custom dashboards that visualize CSV Files stored in your buckets, such as sales performance trackers, inventory monitors, or campaign analytics reports. These visualizations help business teams spot trends and make data-driven decisions without technical expertise.
How often does my Amazon S3 data update in Looker?
You configure the update frequency based on your business needs, choosing from intervals like every 5 minutes, hourly, or daily refreshes. This ensures your dashboards reflect the most recent file uploads and changes stored in your S3 buckets.
Can I share Looker dashboards built from Amazon S3 data with my team?
Once your data flows into Looker through Kondado, you can distribute reports and dashboards to stakeholders across your organization using Looker's built-in sharing features. This keeps everyone aligned with the same current data from your S3 storage.
Do you offer pre-built report templates for Amazon S3 to Looker?
Kondado focuses on enabling custom dashboard creation tailored to your specific file structures and business metrics. While pre-built templates are not available, you can easily design reports that match your unique CSV Files and analytical requirements.
What specific business metrics can I track from Amazon S3 files?
You can monitor metrics derived from your CSV Files such as sales trends, inventory levels, or marketing campaign results by configuring the appropriate column delimiters and date ranges. This allows operations and marketing teams to track KPIs relevant to their daily workflows.
Can I send Amazon S3 data to other tools besides Looker?
Yes, Kondado supports multiple destinations including Power BI, Google Sheets, and BigQuery alongside Looker. This flexibility lets you visualize the same S3 data across different platforms based on team preferences.
How do I set up the CSV Files pipeline from Amazon S3?
In Kondado, you add Amazon S3 as a data source, then configure your CSV Files pipeline by specifying parameters like file prefixes and column delimiters. Once connected, the data flows directly to Looker for immediate visualization.

Try out all the features for free for 14 days