Excel Financial Statements to Parquet for Analysis
Years of statements in Excel files are slow to analyse together. Parquet keeps them compact and typed.
Open the Excel to Parquet converter
Prepare each sheet with one header row, no titles, merged cells or subtotals. Open the Excel to Parquet converter and drop the workbook. Only the first sheet of an .xlsx file is read, and old .xls files must be saved as .xlsx first.
Parquet keeps a type for every column, so set numbers, dates and text before you export, and read the file back to check it.
Keep account codes as text, amounts as numbers and dates as dates. Convert each period the same way, so the files have the same columns and can be loaded together. Compare a column total with Excel.
Everything runs in your browser and nothing is uploaded.
Open the Excel to Parquet converter
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How to use the Excel to Parquet converter: step by step
- Prepare the sheet.
- Open the Excel to Parquet converter.
- Check types and a total.
- Download Parquet.
When to use the Excel to Parquet converter
- Analyse several years together
- Archive statements compactly
- Load a ledger into a warehouse
- Speed up reporting
Example
Input: report.xlsx
Output: report.parquet
Frequently asked questions
Why convert Excel to Parquet?
Parquet is smaller and faster to load in tools like pandas, Spark, DuckDB and BigQuery.
Are numbers and dates kept as types?
Yes. Turn on type detection and numbers, dates and booleans are written as real column types.
How big can a file be?
It depends on your device. A few hundred MB usually works.
Which conversions does the Format Converter support?
Any direction between JSON, CSV, Parquet and Excel (.xlsx), for one file or a whole folder. Nested JSON is flattened into columns such as address.city. For Excel, the first sheet is read; old .xls files are not supported.
Tip: Use the same columns every period so files can be loaded together.