Send data from BigQuery to Excel

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Send BigQuery Data to Excel Automatically

Sending BigQuery data to Excel requires a direct integration that automates the data flow between Google’s serverless data warehouse and Microsoft’s spreadsheet platform. Kondado provides this connection through automated pipelines that replicate your BigQuery tables and views directly into Excel workbooks on a configurable schedule. You simply select your BigQuery data source, choose the specific datasets you need, and define how frequently the data should refresh in your Excel files.

Kondado replicates BigQuery data to Excel automatically on a configurable schedule, allowing users to analyze large volumes of warehouse data using familiar spreadsheet formulas and chart tools without manual exports.

Once your data arrives in Excel, you can build custom financial models, create pivot tables for ad-hoc analysis, or combine BigQuery metrics with other business data for comprehensive reporting and decision-making. This automated workflow eliminates the need to manually download CSV files or write complex queries every time you need updated figures, ensuring your spreadsheets always reflect the latest information from your data warehouse.

Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required

The Tables and Views pipeline automatically discovers all available datasets within your BigQuery data source, replicating both structured tables and analytical views directly into your Excel environment. This means you can pull complete customer transaction histories, aggregated marketing performance metrics, or raw event logs into your spreadsheets for deep analysis. In Excel, agency analysts can merge these BigQuery datasets with budget trackers to calculate campaign performance, while technical users might build complex financial models that reference warehouse tables alongside local data imports for comprehensive business intelligence.

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Dynamic data

Kondado automatically reads the schema of your BigQuery. All tables, views, and fields available in your account are extracted without manual configuration.

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available pipeline

What Kondado extracts

Tabelas e Views
Kondado automatically maps all tables and views available in your database
Integration Description
Tabelas e Views Kondado automatically maps all tables and views available in your database

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How to send BigQuery data to Excel

Sync data automatically — no code, no manual exports.

1
Connect BigQuery Account

Add your BigQuery project credentials to Kondado, selecting the appropriate Google Cloud project and dataset you want to replicate. The platform validates your connection permissions and automatically discovers available tables and views for pipeline creation.

2
Set Up Excel Destination

Configure Excel as your destination by specifying the workbook location and authentication details for your Microsoft 365 account. Kondado establishes the direct integration with Excel's cloud storage, preparing the environment to receive your BigQuery datasets as refreshable tables.

3
Select Data and Schedule

Choose specific tables and views from the available pipeline options, then define your preferred update frequency ranging from five-minute intervals to daily schedules. Once configured, Kondado automatically replicates your selected BigQuery data to Excel according to this timetable.

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Frequently Asked Questions (FAQ)

Answers about sending BigQuery data to Excel automatically

How does Kondado replicate BigQuery data to Excel?
Kondado creates automated pipelines between your BigQuery data source and Excel destination, running on a configurable schedule that you control. The platform connects directly to your BigQuery project, extracts the selected tables or views, and loads them into Excel workbooks as refreshable data ranges. This process requires no coding or manual CSV exports, maintaining your analysis workflows with automated updates.
What BigQuery objects can I replicate to Excel?
Through the Tables and Views pipeline, you can replicate any table or view available in your BigQuery dataset, including partitioned tables and materialized views. Kondado automatically maps your database schema, allowing you to select specific datasets for replication while filtering out unnecessary warehouse objects. This gives you precise control over which analytical models and raw data tables populate your Excel spreadsheets.
How often does BigQuery data update in Excel?
You configure the update frequency when setting up your pipeline, choosing intervals from every five minutes to daily or weekly schedules. Kondado executes the replication automatically based on your selected cadence, ensuring your Excel workbooks reflect the latest warehouse data without manual intervention. This near-real-time capability supports both operational dashboards requiring frequent refreshes and monthly reporting cycles.
Does BigQuery data appear as tables or queries in Excel?
Replicated BigQuery data loads into Excel as structured tables within your workbook, appearing as native Excel table objects that support sorting, filtering, and formula references. You can manipulate this data using pivot tables, VLOOKUP functions, or Power Query transformations just like any other Excel dataset. The data maintains its schema structure from BigQuery, preserving column names and data types for accurate analysis.
Can I combine BigQuery data with other sources in Excel?
Yes, once your BigQuery data resides in Excel, you can blend it with information from other destinations such as PostgreSQL or Google Sheets using Excel's Power Query or XLOOKUP features. This allows you to create unified reports that join warehouse metrics with CRM data, financial systems, or operational databases. Kondado supports multi-source workflows by maintaining separate pipelines for each data source feeding into your Excel environment.
Can I send BigQuery data to Excel and Power BI at the same time?
Absolutely, Kondado allows you to create multiple pipelines from the same BigQuery data source to different destinations simultaneously. You can replicate specific tables to Excel for detailed spreadsheet analysis while sending the same datasets to Power BI or Looker Studio for dashboard visualization. This multi-destination approach ensures consistent data across your analytical tools without redundant extraction processes.
How do I select specific BigQuery views for Excel replication?
During pipeline configuration, Kondado displays all available tables and views from your connected BigQuery project, allowing you to select individual objects or entire datasets for replication. You can choose specific views that contain pre-aggregated metrics or filtered subsets of your warehouse data, optimizing your Excel workbooks for particular analytical needs. The selection interface updates automatically when new views are added to your BigQuery schema.
What happens when I add new tables to BigQuery?
When you create new tables or views in your BigQuery project, they appear automatically in Kondado's pipeline configuration screen, ready for selection and replication to Excel. You can choose to add these new data objects to existing pipelines or create separate replication schedules for different update frequencies. This dynamic discovery ensures your Excel reporting can expand alongside your evolving data warehouse structure.

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