Analyze JSON data in Jupyter.

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

How to connect JSON to Jupyter

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


Integrate

Add JSON as a data source.

Connect

Map JSON data to Jupyter.

Watch

See JSON data flow into Jupyter.

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

JSON

JSON is the most popular file format for describing data objects consisting of key-value pairs using human-readable text.

Jupyter

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

Ready to move JSON data to your warehouse?

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