Until the ability to easily import data files (e.g. .CSV) for use by Apache Zeppelin component of Data Scientist Workbench is made available, here are two options you can utilize:
1. Use 'wget' through %sh in Zeppelin
The data file should be uploaded to somewhere on the internet and have a http or https URL for accessing it. You can then pull it using the "wget" command in Zeppelin, as follows:
wget <file_name> <url_file>
<file_name> = a new local file name after pull it by using 'wget'
<url_file> = URL of data file
For example :
wget bank.csv https://s3.amazonaws.com/apache-zeppelin/tutorial/bank/bank.csv
All downloaded files by using 'wget' are placed in the current directory and you can always access it within Zeppelin cells by using the path "./<file_name>", e.g.: "./bank.csv".
2. Drag/Drop files in iPython notebook
Various components of the Data Scientist Workbench share the "/resources" folder on the system. The iPython/Jupyter Notebooks in Data Scientist Workbench allow data files to be dragged from your desktop and dropped onto a notebook. A file dragged in such a manner in iPython notebooks will be available under the "/resources" path, which you can then reference in your Zeppelin notebooks.
1) Drag and drop a data file into iPython notebook, like 'bank.csv'
2) (Optional) Check if file exists by running command in Zeppelin, like :
ls -l /resources/bank.csv
Once it is verified, you are able to use "/resources/bank.csv" in your Zeppelin notebooks.