Analyze Amazon Aurora data in Jupyter.
Load your Amazon Aurora data to your data warehouse to run custom SQL queries on your customer data and to generate reports and dashboards using Jupyter. Combine your Amazon Aurora data with data from other sources to make it even more valuable.
How to connect Amazon Aurora to Jupyter
Simple. By leveraging the Alooma enterprise data pipeline, you can easily integrate, connect, and watch your Amazon Aurora data flow into Jupyter.
Integrate
Add Amazon Aurora as a data source.
Connect
Map Amazon Aurora data to Jupyter.
Watch
See Amazon Aurora data flow into Jupyter.
Export your Amazon Aurora data along with all of
your other data sources to Jupyter.
Amazon Aurora is a MySQL and PostgreSQL compatible database with the security, availability, and reliability of commercial databases at 1/10th the cost.
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 Amazon Aurora data to your warehouse?
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