Analyze Cassandra data in Jupyter.

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


This integration is on our roadmap.
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How to connect Cassandra to Jupyter

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


Integrate

Add Cassandra as a data source.

Connect

Map Cassandra data to Jupyter.

Watch

See Cassandra data flow into Jupyter.

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

Cassandra

Cassandra is an open source, high performance, distributed database designed to handle large amounts of data across many commodity servers, providing high availability with no single point of failure.

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 Cassandra data to your warehouse?

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