Upload files to Azure Databricks

This article details patterns to load local files to Databricks.

Azure Databricks does not provide any native tools for downloading data from the internet, but you can use open source tools in supported languages. See Download data from the internet.

Add data from local files

You can upload local files to Databricks to create a Delta table or store data in volumes. To access these and other data source options, click New > Data.

• Click Create or modify table to upload CSV, TSV, JSON, XML, Avro, Parquet, or text files into Delta Lake tables. See Create or modify a table using file upload.
• Click Upload files to volume to upload files in any format to a Unity Catalog volume, including structured, semi-structured, and unstructured data. See Upload files to a Unity Catalog volume.

Note

The DBFS option allows you to use the legacy DBFS file upload.