Generate QVD files with Advanced ETL Processor when QlikView needs fast, repeatable input from Excel, SQL databases, text files, XML, QVX, Salesforce, or another external source. The point is not just creating one file. The point is creating the same correct file tomorrow without someone babysitting an export button like it owes them money.
Advanced ETL Processor can create QVD files from many sources, apply transformations and validation, and run the process on demand or by schedule. Use Q-Eye afterward if you need to inspect the generated file manually.
QVD files are useful because QlikView can reload them quickly
A QVD file is QlikView's native data file format. It stores tabular data in a compact structure designed for fast Qlik reloads. In plain English: it is a prepared file that lets QlikView spend less time collecting data and more time doing the reporting work.
That matters when the source data lives in several places. One department sends Excel. Another uses SQL Server. Someone still has a DBF file because legacy systems are apparently immortal. Creating QVD files gives QlikView a cleaner staging layer.
Advanced ETL Processor turns source data into QVD output
Advanced ETL Processor Enterprise can read many source types and generate QVD files as part of an ETL workflow. Typical sources include Excel, delimited text, XML, Access, DBF, FoxPro, ODBC, OLE DB, SQL Server, Oracle, MySQL, PostgreSQL, Firebird, InterBase, SQLite, POP3, RSS feeds, Windows Event Logs, Google Sheets, Salesforce, Brightpearl, and QVX files. Qlik also documents the STORE statement for teams comparing scripted Qlik output with external ETL generation.
You can also transform and validate the data before writing the QVD. That is the useful bit. A QVD generated from bad source data is still bad data, only now wearing a Qlik badge.
Common QVD generation jobs
- Create QVD files from Excel or CSV files received from suppliers.
- Stage SQL Server, Oracle, MySQL, or PostgreSQL data for QlikView.
- Convert QVX data into QVD files for downstream reporting.
- Build scheduled QVD refreshes with logging and error handling.
Checks before writing QVD files
- Confirm field names match the QlikView load script.
- Validate dates, numeric values, and required fields.
- Keep source files unchanged for audit and reruns.
- Test the generated QVD with a small dataset first.
No-code QVD generation still needs data rules
The workflow can be built with drag-and-drop steps, but no-code does not mean no thinking. You still need to know which fields matter, which rows should be filtered, and whether empty values are allowed. The software removes the typing. It does not remove common sense. Very few tools do, despite what some brochures suggest.
- Choose the source connection or file reader.
- Map the required fields.
- Add transformations, filters, or validation rules.
- Select QVD as the output format.
- Run the job on a sample dataset.
- Schedule the workflow only after the generated QVD loads correctly in QlikView.
The create QVD files tutorial is the best next step if you want the product walkthrough.
Use Q-Eye to inspect generated QVD files
After creating a QVD file, use Q-Eye when you need to open the file, inspect records, check field metadata, or confirm the output before handing it to a QlikView reload. It is especially useful during testing because it lets you see what the ETL workflow actually produced.
If the generated file looks wrong in Q-Eye, fix the workflow rather than patching the QVD manually. Manual edits are fine for investigation. Automated generation is what keeps the problem fixed after everyone has gone home.
When not to generate QVD files
Do not generate QVD files just because they sound technical. If the data is used once, a direct export may be enough. If the QlikView application already reads a stable database quickly and reliably, adding QVD staging may not help.
Use QVD generation when it reduces reload time, standardises messy source data, isolates QlikView from unstable systems, or gives you a repeatable staging layer. If it only adds another file to look after, you have created paperwork with a file extension.
Generate QVD files FAQ
Can QVD files be created without QlikView?
Yes. Advanced ETL Processor can generate QVD files from supported source data without using QlikView as the creation tool.
Which source formats can be used to create QVD files?
Common sources include Excel, CSV, text files, XML, QVX, Access, DBF, ODBC, OLE DB, SQL Server, Oracle, MySQL, PostgreSQL, SQLite, Salesforce, and Google Sheets.
Can QVD generation be scheduled?
Yes. Advanced ETL Processor can run QVD generation workflows on a schedule, with logging and error handling for unattended execution.
Should I validate data before creating a QVD file?
Yes. Validate dates, numbers, required fields, duplicate keys, and field names before writing the QVD. QlikView will reload bad data quickly, which is efficient but unhelpful.
How do I check a generated QVD file?
Open it in Q-Eye to inspect records and metadata. Then test the file in the target QlikView load script before using it in production.
If your QlikView reload is spending too much time collecting data, generate QVD files upstream and let Qlik do what it does best. Preferably before the progress bar becomes part of the office furniture.