Supported File Formats

This section contains information on the fie formats and compression schemes that are supported for input to and output of  Dataprep by Trifacta. 

Filenames

Forbidden characters in import filenames:

The following list of characters present issues in the listed area of the product. If you encounter issues, the following listings may provide some guidance on where the issue occurred.

• General:

  "/"

• Seb browser: 

  "\"

• Excel filenames:

  "#"

Native Input File Formats

Dataprep by Trifacta can read and import directly these file formats:

• Excel (XLS/XLSX)

  NOTE: Other Excel-related formats, such as XLSM format, are not supported.

  
  

  NOTE: Excel import is supported through file upload only.

  
  

  Tip: You may import multiple worksheets from a single workbook at one time. See Import Excel Data in the User Guide.

• CSV

• JSON, including nested

  NOTE: Dataprep by Trifacta requires that JSON files be submitted with one valid JSON object per line. Consistently malformed JSON objects or objects that overlap linebreaks might cause import to fail. See Initial Parsing Steps in the User Guide

• Plain Text
• LOG
• TSV

• Parquet

  NOTE: When working with datasets sourced from Parquet files, lineage information and the $sourcerownumber reference are not supported.

• Avro

  NOTE: When working with datasets sourced from Avro files, lineage information and the $sourcerownumber reference are not supported.

• Google Sheets

  NOTE: Individual users must enable access to their Google Drive. No data other than Google Sheets is read from Google Drive.

  See Import Google Sheets Data.

For more information on data is handled initially, see Initial Parsing Steps in the User Guide.

Native Output File Formats

Dataprep by Trifacta can write to these file formats:

• CSV
• JSON

• Avro

• BigQuery Table

Compression Algorithms

Read Native File Formats

Write Native File Formats