No-code pipeline · Excel → BigQuery

Send data from Excel to BigQuery

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From Excel to BigQuery: managed, scheduled, no code.

Creating a pipeline that sends data from Excel to BigQuery data warehouses takes only a few minutes with Kondado. And the whole integration from Excel to BigQuery is managed and executed by our platform. With Kondado, you can focus on extracting value from Excel data and combining it with other data in your BigQuery data warehouse

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How to Send Excel Data to BigQuery

To send Excel data to BigQuery, connect your Excel file stored on OneDrive or SharePoint as a data source in Kondado, paste the file address, and select the worksheet you want to replicate. Kondado reads the first filled row as the header and turns each title into a column, so your worksheet structure maps cleanly into BigQuery. Then choose BigQuery as the destination, review the worksheet fields, and set an update schedule that matches your reporting cadence.

Kondado replicates Excel worksheet data to BigQuery on a configurable schedule, from every 5 minutes to daily, using the Spreadsheet (worksheet) pipeline. Each run reads the selected worksheet, keeps the Excel row number, and creates a text column for each header title from the first filled row, so agency analysts and technical teams can query budget, target, and registry data in BigQuery.

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Use the Spreadsheet (worksheet) pipeline for Budget, the Spreadsheet (worksheet) pipeline for Sales Registry, and the Spreadsheet (worksheet) pipeline for Operational Controls to replicate those worksheets into BigQuery, including the Excel row number and one text column for each header title from the first filled row. With those rows in BigQuery, teams can combine them with other data sources and build custom dashboards in Looker Studio or Power BI. Analysts can query monthly targets against actual results, review registry trends by region, and create reporting views that keep agency and finance teams aligned on the same numbers.

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Replicated to BigQuery

Excel data available for BigQuery

Tables Kondado writes into your BigQuery, on a schedule you control.

available pipeline

BigQuery

Destination

Available integrations

Spreadsheet (worksheet)

Each row represents a row of the selected Excel worksheet, with the Excel row number and a text column for each header title from the first filled row, using a normalized name.

See all available data → Send Excel to BigQuery →

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How to send Excel data to BigQuery

Sync data automatically — no code, no manual exports.

Connect Excel as a data source

In Kondado, add Excel as your data source, paste the OneDrive or SharePoint file address, and choose the worksheet you want to replicate.

Configure BigQuery as destination

Select BigQuery as the destination and confirm the project and dataset where the replicated worksheet rows should land.

Select data and set schedule

Review the worksheet fields, including the Excel row number and header columns, then choose a configurable update schedule such as every 15 minutes, hourly, or daily.

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Choose a tool to visualize your Excel data

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Frequently Asked Questions (FAQ)

Answers about sending Excel data to BigQuery automatically

How does Kondado read an Excel file stored in OneDrive or SharePoint? ▼

Kondado uses the file address you paste to open the workbook and lets you choose the worksheet to replicate. It starts at the first filled row, treats each header title as a column, and carries the original Excel row number into BigQuery. The Excel data source keeps the worksheet structure predictable for downstream SQL.

Can I replicate more than one worksheet from the same Excel file? ▼

Yes, you can create a separate Spreadsheet (worksheet) pipeline for each worksheet you want to send to BigQuery. Each pipeline reads the worksheet you select, so a budget sheet, a targets sheet, and a registry sheet can land as separate data flows. This keeps ownership and update schedules clear for different teams.

How often can Kondado update Excel data in BigQuery? ▼

Kondado runs the Excel to BigQuery pipeline on a configurable schedule, with options such as every 5 minutes, every 15 minutes, hourly, or daily. The schedule controls when the selected worksheet is read again and new rows are replicated. Teams can align the cadence with their reporting cycle, from frequent operational checks to daily finance reviews.

What format does Excel worksheet data have in BigQuery? ▼

Each replicated row includes the Excel row number and a text column for every header title found in the first filled row. Header names are normalized, so spaces and special characters become cleaner field names in BigQuery. Values arrive as text, which lets you cast, clean, and model them with BigQuery SQL after the load.

Can I join Excel data with other sources in BigQuery? ▼

Yes, Excel worksheet rows can sit alongside data replicated from other sources in BigQuery. You can join budget data from Excel with operational data from PostgreSQL or planning data from Google Sheets to build a single reporting view. This is useful for comparing targets, actuals, and registries in one query.

Can I build dashboards from Excel data in BigQuery? ▼

Yes, once Excel worksheet rows are in BigQuery, you can connect that data to Looker Studio or Power BI and build custom dashboards. Agency teams can create views for budget tracking, target attainment, and registry trends from the same BigQuery data. The dashboards reflect the update schedule you set for the pipeline.

What happens when I add a new column to the Excel worksheet? ▼

The pipeline reads the header row on each scheduled update, so a new header title can appear as a new column in BigQuery after the next run. Existing columns keep their normalized names, and the new field is available for your queries once the update completes. Review the worksheet layout before changing headers if downstream reports depend on specific field names.

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