Export SQL Server to QVD Automatically
Need to export your SQL Server data into QlikView QVD format? With Advanced ETL Processor, you can automate the export process without using Qlik scripts or complex ETL pipelines. Save time and streamline QlikView or Qlik Sense data integration.
Why Export SQL Server Data to QVD?
- Use SQL Server data in QlikView or Qlik Sense dashboards
- Preload data into QVDs for faster Qlik performance
- Automate nightly exports for self-service BI reporting
How to Export SQL Server to QVD - Step-by-Step
1. Launch Advanced ETL Processor
- Create a SQL Server Connection as your data source
- Create a Directory Connection for saving QVD output
2. Create a New Transformation
Right-click a transformation group and choose New to create a new data transformation.
3. Configure Reader
- Double-click to open Reader Properties
- Select your SQL Server connection
- Choose a table or write a custom SQL query
- Preview and verify the structure
4. Configure Writer
- Double-click to open Writer Properties
- Set the target type to QVD
- Select the destination directory and output file name
5. Map and Format Fields
Connect fields between the source and QVD output. You can also:
- Rename or reorder fields
- Convert data types (e.g. datetime, currency)
- Use calculated fields, filters, or trimming logic
6. Run the Transformation
Click Run (Green Arrow) to export the data. The QVD file will be created and ready for use in QlikView or Qlik Sense.
Automation and Integration
- Schedule recurring QVD exports (e.g. daily, hourly)
- Trigger export on events or file presence
- Send QVD files via FTP or move to shared folders
Where this export fits
Export SQL Server to QVD is useful when SQL Server data has to feed reports, dashboards, partner systems, audits, archives, or downstream ETL jobs. Use it when the same source query needs controlled QVD output, validation, scheduling, and logs instead of another manual file export.
Do not automate the export until the source query, output layout, file naming, overwrite rules, and failure behaviour are agreed. Automation repeats rules; it does not rescue unclear ones.
Useful links for this export
Start with the Advanced ETL Processor Enterprise overview, then download the fully functional 30-day trial. The export-data hub lists the other supported export workflows.
Video Tutorial
FAQ
Can Advanced ETL Processor export SQL Server to QVD?
Yes. Advanced ETL Processor can read SQL Server, apply transformations, write QVD, schedule the export, and log the result.
Do I need to write scripts for the export?
No scripting is required for the normal export workflow. You can configure the source, output format, validation, and schedule visually.
Can the QVD export run on a schedule?
Yes. The export package can run on a schedule, write the QVD output, archive files, and keep the same validation rules each time.
Can row counts and failures be logged?
Yes. Add logging so row counts, rejected records, run status, and error details can be reviewed after each export.
What should I check before the first production export?
Check the source query, output columns, data types, date formats, file naming, overwrite rules, archive folder, and failure handling.
Can I export only selected SQL Server records?
Yes. Use a query or filter so the export reads only the SQL Server records needed for the file, report, dashboard, archive, or partner feed.
When should I not automate the export yet?
Do not automate it until the source query, output layout, file naming, and failure handling are clear. Automation repeats rules; it does not invent them.
Can I test the export before buying?
Yes. Download the fully functional 30-day trial, build one small export, and test it with a safe sample first.
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