Analyze ODBC data in Jupyter.

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

How to connect ODBC to Jupyter

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


Integrate

Add ODBC as a data source.

Connect

Map ODBC data to Jupyter.

Watch

See ODBC data flow into Jupyter.

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

ODBC

Open Database Connectivity (ODBC) is a standard application programming interface (API) for accessing database management systems (DBMS)

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.

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