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How to visualize Amazon S3 data in Looker Studio? With Kondado, you can replicate your CSV files and other stored data directly into Looker Studio without writing code or managing complex infrastructure. Our platform connects to your Amazon S3 buckets and automatically updates your dashboards on a configurable schedule, whether you need updates every 5 minutes, hourly, or daily.
Business teams can transform raw file storage into actionable visualizations that drive marketing decisions and operational improvements, choosing exactly which files to read and how often to refresh them. Marketing and operations teams gain immediate access to insights from their stored data, enabling faster strategic decisions based on the latest information available in their cloud storage. This streamlined approach eliminates manual download processes and keeps your entire organization aligned with current performance metrics.
Kondado provides a direct integration between Amazon S3 and Looker Studio, enabling non-technical teams to replicate CSV file data and create automated reports without intermediate databases, manual exports, or IT dependency.
Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required
Combining Amazon S3 with Looker Studio through Kondado opens powerful analytical possibilities for business users. The CSV Files pipeline allows you to read structured data from your cloud storage and turn spreadsheet information into compelling visual stories. Marketing teams can track campaign performance stored in S3 buckets, while operations managers monitor inventory levels and sales trends without technical assistance. By automating the flow of CSV data into interactive reports, you eliminate manual processing delays and ensure decision-makers always view current business metrics. This direct connection helps agencies and SMBs leverage their existing file storage investments for immediate business intelligence and strategic planning.
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Kondado automatically reads the schema of your Amazon S3. All tables, views, and fields available in your account are extracted without manual configuration.
| Integration | Description |
|---|---|
| CSV Files | Includes fields such as Start reading date, Column delimiter, and File prefix, enabling efficient data reading and organization. |
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Visualize your data automatically — no spreadsheet exports or custom scripts.
Add Amazon S3 to Kondado by entering your AWS credentials and selecting the CSV Files pipeline. Configure your file reading preferences including column delimiters and file prefixes to match your stored data structure.
Choose Looker Studio as your destination to replicate data directly into Google's visualization platform. This establishes the automated flow between your S3 buckets and reporting environment without intermediate storage.
Create custom reports in Looker Studio using your replicated data and set your preferred update frequency from 5 minutes to daily. Your dashboards will automatically refresh with the latest file contents from Amazon S3 based on your chosen schedule.
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