No-code pipeline · Google Cloud Storage → Excel

Send data from Google Cloud Storage to Excel

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From Google Cloud Storage to Excel: managed, scheduled, no code.

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

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Send Google Cloud Storage Data to Excel

How to send Google Cloud Storage data to Excel? Kondado provides a direct connection that replicates your CSV files from Google Cloud Storage to Excel workbooks automatically on a schedule you control. Configure your data source by providing your GCS credentials, select the CSV pipeline, and choose whether to update every 5 minutes, hourly, or daily. Your data flows into Excel without manual exports, enabling you to build pivot tables, apply formulas, and create charts using familiar spreadsheet tools. This automated workflow eliminates manual file downloads and ensures your analysis always reflects the current state of your cloud storage objects.

Kondado replicates Google Cloud Storage CSV files to Excel automatically on a configurable schedule, tracking file metadata including basename, path, and modification timestamps to keep your spreadsheets updated with the latest object data.

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The CSV pipeline captures comprehensive metadata about your files stored in Google Cloud Storage, including the file basename, full path, and modification timestamps tracked through the __kdd_insert_time field. Once this data lands in Excel, you can monitor file arrival patterns, track storage utilization trends, or cross-reference file metadata with operational data to validate ETL processes. Analysts can combine this information with other business data to create custom dashboards that visualize file distribution across buckets or monitor data lake ingestion schedules directly within their spreadsheets.

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Replicated to Excel

Google Cloud Storage data available for Excel

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

available pipeline

extractable fields

Excel

Destination

Available integrations

CSV

Table includes information about CSV files, featuring fields such as __file_basename, __file_path, and __kdd_insert_time, enabling tracking of the modification date and value of each file.

See all available data → Send Google Cloud Storage to Excel →

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How to send Google Cloud Storage data to Excel

Sync data automatically — no code, no manual exports.

Connect Google Cloud Storage

Access your Google Cloud Storage settings in Kondado and enter your bucket credentials to establish the data source connection.

Configure Excel Destination

Set up Excel as your destination by authenticating your Microsoft 365 account and selecting the target workbook where your file metadata will be replicated.

Select Data and Schedule

Choose the CSV pipeline from your available options and define your update frequency to automate the replication of file metadata to your spreadsheet.

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Send data from Google Cloud Storage to other destinations

Google Cloud Storage > Looker Studio

Google Cloud Storage > Power BI

Other visualizations

Google Cloud Storage > Amazon S3

Google Cloud Storage > BigQuery

Google Cloud Storage > Excel

Google Cloud Storage > Google Sheets

Google Cloud Storage > MySQL

Google Cloud Storage > PostgreSQL

Google Cloud Storage > Redshift

Google Cloud Storage > SQL Server

Choose a tool to visualize your Google Cloud Storage data

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

Google Cloud Storage > Airtable

Google Cloud Storage > Alteryx

Google Cloud Storage > Amazon Quicksight

Google Cloud Storage > BIMachine

Google Cloud Storage > Cortex

Google Cloud Storage > Data Studio

Google Cloud Storage > Geckoboard

Google Cloud Storage > Grafana

Google Cloud Storage > IBM Cognos Analytics

Google Cloud Storage > Klipfolio

Google Cloud Storage > Looker Studio

Google Cloud Storage > Looker

Google Cloud Storage > Looqbox

Google Cloud Storage > Metabase

Google Cloud Storage > Microstrategy

Google Cloud Storage > Pentaho

Google Cloud Storage > Power BI

Google Cloud Storage > Qlik Cloud Analytics

Google Cloud Storage > Qlik Sense

Google Cloud Storage > Qlik

Google Cloud Storage > QlikView

Google Cloud Storage > Redash

Google Cloud Storage > Superset

Google Cloud Storage > Tableau

Google Cloud Storage > BI TOTVS

Google Cloud Storage > Zoho Analytics

Frequently Asked Questions (FAQ)

Answers about sending Google Cloud Storage data to Excel automatically

How does Kondado replicate Google Cloud Storage files to Excel? ▼

Kondado connects directly to your Google Cloud Storage buckets and reads file metadata through the CSV pipeline. The platform extracts information such as file paths and modification dates, then loads this structured data into your Excel workbooks on the schedule you configure.

What file metadata fields are available when replicating GCS to Excel? ▼

The CSV pipeline includes eight fields such as __file_basename, __file_path, and __kdd_insert_time that track each file's location and modification history. These fields enable you to monitor when files were added or changed in your storage buckets directly within your spreadsheet analysis.

How often can I update my Excel workbook with new GCS data? ▼

You can configure updates to run every 5 minutes, 15 minutes, hourly, or daily depending on your reporting needs. This flexible scheduling ensures your Excel reports reflect the latest file additions and changes without requiring manual refreshes or data entry.

Can I combine Google Cloud Storage data with other sources in Excel? ▼

Yes, you can replicate data from multiple sources into the same Excel workbook to create comprehensive analysis. Consider combining your GCS file metadata with data from BigQuery or PostgreSQL to correlate storage activity with business operations.

What data format does the CSV pipeline use in Excel? ▼

The pipeline delivers structured metadata in a tabular format that Excel recognizes immediately, with each field appearing as a separate column. This standard format allows you to apply Excel's built-in formulas, pivot tables, and charting tools without any data transformation or formatting steps.

Do I need to manually download files from GCS before sending to Excel? ▼

No, Kondado reads file metadata directly from your Google Cloud Storage buckets without requiring manual downloads or file transfers. The automated pipeline extracts the metadata and delivers it to Excel, saving time and eliminating the risk of working with outdated file information.

Can I send the same GCS data to other destinations besides Excel? ▼

Yes, Kondado supports multiple destinations for the same data source, allowing you to send your Google Cloud Storage data to Power BI, Looker Studio, or Google Sheets simultaneously. This flexibility enables different teams to access the same file metadata in their preferred analytics environment.

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