No-code pipeline · Amazon S3 → Excel

Send data from Amazon S3 to Excel

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From Amazon S3 to Excel: managed, scheduled, no code.

Kondado replicates Amazon S3 data to Excel on a configurable schedule, supporting automated updates every 5 minutes, 15 minutes, hourly, or daily. The platform connects to your S3 buckets, reads CSV files using customizable parameters like file prefixes and column delimiters, and delivers formatted data directly into Excel workbooks for immediate analysis.

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Send Amazon S3 Data to Excel Automatically

To send Amazon S3 data to Excel, you need a data replication platform that connects your cloud storage to your spreadsheet environment. Kondado provides a direct connection between Amazon S3 and Excel, allowing you to automate the flow of CSV files and other structured data from your AWS buckets directly into Microsoft 365 workbooks. Configure your data source once, set your preferred update frequency, and watch your Excel files populate with fresh data without manual downloads or copy-paste operations.

Once your data arrives in Excel, you can leverage familiar formulas, pivot tables, and charting tools to analyze S3-stored information alongside other business metrics. This automated pipeline eliminates the need to manually export files from AWS, ensuring your spreadsheets always reflect the latest data from your cloud storage while maintaining the flexibility to build custom reports tailored to your specific analytical needs.

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The CSV Files pipeline enables you to replicate structured data from Amazon S3 directly into Excel workbooks, allowing you to configure file prefixes to target specific datasets and set column delimiters that match your data structure. Once replicated, you can combine this S3 data with information from other sources in Excel to build comprehensive financial models, inventory trackers, or operational dashboards using native spreadsheet functions. Analysts can refresh their workbooks on a configurable schedule to ensure that sales reports, log analysis, or customer data exports stored in S3 always remain current without manual intervention, enabling faster decision-making based on the latest cloud-stored information.

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Replicated to Excel

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.

available pipeline

Excel

Destination

What Kondado extracts

CSV Files

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

See all available data → Send Amazon S3 to Excel →

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How to send Amazon S3 data to Excel

Sync data automatically — no code, no manual exports.

Connect Your S3 Bucket

Provide your AWS access keys and bucket name in Kondado to create the data source, enabling the platform to read CSV files from your specified S3 location.

Set Up Excel Workbook

Link your Microsoft 365 account and designate the target workbook and worksheet where Kondado will write the replicated S3 data. This establishes Excel as your destination for automated data delivery.

Configure Pipeline and Schedule

Select the CSV Files pipeline from your Amazon S3 source and define file selection criteria such as prefixes and delimiters. Then establish your preferred update cadence to automate data delivery into Excel.

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Send data from Amazon S3 to other destinations

Amazon S3 > Looker Studio

Amazon S3 > Power BI

Other visualizations

Amazon S3 > Amazon S3

Amazon S3 > BigQuery

Amazon S3 > Excel

Amazon S3 > Google Sheets

Amazon S3 > MySQL

Amazon S3 > PostgreSQL

Amazon S3 > Redshift

Amazon S3 > SQL Server

Choose a tool to visualize your Amazon S3 data

If the software you need is not listed, drop us a messagem. You can use almost every tool

Amazon S3 > Airtable

Amazon S3 > Alteryx

Amazon S3 > Amazon Quicksight

Amazon S3 > BIMachine

Amazon S3 > Cortex

Amazon S3 > Data Studio

Amazon S3 > Geckoboard

Amazon S3 > Grafana

Amazon S3 > IBM Cognos Analytics

Amazon S3 > Klipfolio

Amazon S3 > Looker Studio

Amazon S3 > Looker

Amazon S3 > Looqbox

Amazon S3 > Metabase

Amazon S3 > Microstrategy

Amazon S3 > Pentaho

Amazon S3 > Power BI

Amazon S3 > Qlik Cloud Analytics

Amazon S3 > Qlik Sense

Amazon S3 > Qlik

Amazon S3 > QlikView

Amazon S3 > Redash

Amazon S3 > Superset

Amazon S3 > Tableau

Amazon S3 > BI TOTVS

Amazon S3 > Zoho Analytics

Frequently Asked Questions (FAQ)

Answers about sending Amazon S3 data to Excel automatically

How does Kondado replicate Amazon S3 files to Excel workbooks? ▼

Kondado connects to your S3 buckets using the CSV Files pipeline to read structured data based on your configured file prefixes and date ranges. The platform then formats this data and writes it directly into your specified Excel workbooks within Microsoft 365, maintaining column structures and data types. You control which files get processed through settings like Start reading date and column delimiter specifications.

What file formats from Amazon S3 can I import into Excel using Kondado? ▼

Currently, Kondado supports CSV Files pipelines that read comma-separated and delimiter-separated text files stored in your S3 buckets. The platform handles parsing configurations including custom column delimiters and file prefix matching to ensure your data lands correctly formatted in Excel cells. For other formats, consider replicating to BigQuery or PostgreSQL first for transformation.

How often does Amazon S3 data update in Excel? ▼

You control the update cadence for your Amazon S3 to Excel replication, selecting intervals from 5 minutes up to daily depending on your business requirements. Kondado monitors your S3 buckets at these scheduled times for new files matching your criteria and writes changes to your workbook automatically. This ensures your analysis reflects recent uploads without requiring manual file imports or refresh commands.

Can I combine Amazon S3 data with other sources in the same Excel file? ▼

Yes, you can replicate data from multiple sources into separate sheets within the same Excel workbook, including combining S3 data with information from Google Sheets, databases, or marketing platforms. Use Excel's native lookup functions, Power Query connections, or reference formulas to merge datasets across tabs for unified analysis. This approach enables comprehensive reporting that blends cloud storage files with CRM data, advertising metrics, or financial systems.

Does Kondado support Excel Online or only desktop Excel? ▼

Kondado writes data to Excel workbooks stored in Microsoft 365 cloud storage, making them accessible through Excel Online, desktop applications, and mobile devices. Since the data lives in your OneDrive or SharePoint environment, you benefit from collaborative editing features while maintaining automated updates from S3. Your team can view and analyze the replicated data from any device with internet access.

What happens to my existing Excel formulas when new S3 data arrives? ▼

When Kondado updates your workbook with fresh S3 data, it preserves your existing formulas, charts, and formatting while refreshing the source data ranges. Your calculated fields, pivot tables, and dashboard visualizations automatically recalculate using the newly replicated information. This maintains your analytical framework while ensuring calculations reflect the latest data from your Amazon S3 storage.

Can I filter which CSV files from S3 get sent to Excel? ▼

Yes, the CSV Files pipeline includes configuration options like File prefix settings that let you target specific naming patterns or folder paths within your S3 buckets. You can also set Start reading date parameters to exclude older files or historical data that you do not need in Excel. This selective replication ensures only relevant datasets populate your workbooks, keeping file sizes manageable and focused on current business needs.

Try out all the features for free for 14 days

Related on Kondado

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