Convert Excel to Parquet

Parquet is a compact, columnar format that's much faster to read than Excel and keeps column types. Converting takes two nodes.

You'll use: File Input → File Output.

Steps

1. Upload your .xlsx file on the Datasets page.
2. File Input — select the dataset (Ciaren reads Excel via openpyxl).
3. File Output — set format: parquet and a name like data.
4. Run. Download the .parquet from the run output.

Exported Python

import pandas as pd

df_data = pd.read_excel('data.xlsx')
df_data.to_parquet('data.parquet', index=False)

Tips

• Pick a specific sheet on the Datasets page when uploading — the import dialect options include a sheet name/index for workbooks with several sheets.
• Going the other way? Swap the formats — Parquet in, Excel or CSV out.
• Large files? Parquet output plus the polars engine (and lazy export) is much faster than CSV. See Engines.

See also

• File input · File output
• Recipes