Connect Amazon S3 to Looker Studio: Dashboards in Minutes

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Amazon S3
Looker Studio

Visualize Amazon S3 Data in Looker Studio

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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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 Studio

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

1
Connect Amazon S3 as data source

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.

2
Select Looker Studio destination

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.

3
Build dashboards and configure refresh

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.

Access Amazon S3 data in Looker Studio 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

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Frequently Asked Questions (FAQ)

Answers about visualizing Amazon S3 data in Looker Studio automatically

How do I connect Amazon S3 to Looker Studio using Kondado?
Start by adding Amazon S3 as a new data source in your Kondado account, then authenticate with your AWS credentials. Select the CSV Files pipeline and configure your reading preferences such as column delimiters and file prefixes. Finally, choose Looker Studio as your destination to begin replicating data for visualization.
What types of dashboards can I build with Amazon S3 data in Looker Studio?
You can create custom reports showing sales trends, marketing campaign performance, inventory levels, or financial summaries based on your stored CSV files. Business users typically build operational dashboards that track daily metrics, comparative analysis reports across time periods, and executive summaries that aggregate multiple data files into unified visualizations. These custom reports help teams monitor business health without manually downloading files.
How often does my Amazon S3 data update in Looker Studio?
You control the refresh schedule based on your business needs, with options ranging from every 5 minutes for near-real-time monitoring to daily updates for periodic reporting. The configurable schedule ensures your Looker Studio reports reflect the latest uploaded files without manual intervention. Simply set your preferred frequency when configuring the pipeline, and Kondado handles the automated updates.
What KPIs should I track when visualizing S3 CSV files?
Common metrics include sales conversion rates, inventory turnover, customer acquisition costs, and operational efficiency indicators stored in your CSV files. Marketing teams often track campaign ROI and lead generation volumes, while operations focuses on supply chain metrics and resource utilization. The specific KPIs depend on your file contents, but Looker Studio makes it easy to calculate trends, percentages, and comparative metrics from your raw data.
Are there pre-built report templates available for Amazon S3 data?
Kondado does not provide pre-built report templates for this connection, allowing you to build completely custom dashboards tailored to your specific CSV structures and business requirements. You create reports from scratch in Looker Studio, designing layouts that match your unique KPIs and branding preferences. This flexibility ensures your visualizations perfectly align with how your team actually uses the data.
Can I share my Amazon S3 dashboards with team members?
Yes, once your data flows into Looker Studio, you can share reports with colleagues, clients, or stakeholders using Looker Studio's built-in sharing features. Recipients can view dashboards without needing access to your Amazon S3 buckets or Kondado account. This makes collaboration simple for agencies presenting client results or internal teams distributing operational updates.
Do I need technical skills to set up the Amazon S3 connection?
No coding or technical expertise is required to connect Amazon S3 to Looker Studio through Kondado. The setup process uses a simple point-and-click interface where you enter your AWS credentials and select file reading preferences. Business users, marketers, and operations teams can configure the entire pipeline independently without IT assistance.
What file formats from Amazon S3 work with Looker Studio?
The CSV Files pipeline specifically handles comma-separated values and other delimited text files stored in your S3 buckets. You can configure column delimiters and file prefixes during setup to ensure proper data reading regardless of your specific CSV formatting. This pipeline focuses on structured text files, making it ideal for spreadsheet exports and database dumps commonly stored in Amazon S3.

Try out all the features for free for 14 days