Analyze CSV data in Jupyter.

Load your CSV data to your data warehouse to run custom SQL queries on your customer data and to generate reports and dashboards using Jupyter. Combine your CSV data with data from other sources to make it even more valuable.

How it works

By leveraging the Alooma enterprise data pipeline, you can easily integrate, connect, and watch your CSV data flow into Jupyter.


Add CSV as a data source.


Map CSV data to Jupyter.


See CSV data flow into Jupyter.

Export your CSV data along with all of
your other data sources to Jupyter.


CSV is the most popular tabular data file format.


The Jupyter Notebook is a web application that allows you to create and share documents that contain live code, equations, visualizations and explanatory text.