Analyze Amazon S3 data in Jupyter.

Load your Amazon S3 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 S3 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 Amazon S3 data flow into Jupyter.


Integrate

Add Amazon S3 as a data source.

Connect

Map Amazon S3 data to Jupyter.

Watch

See Amazon S3 data flow into Jupyter.

Export your Amazon S3 data along with all of
your other data sources to Jupyter.

Amazon S3

Amazon Simple Storage Service (Amazon S3) is a secure, durable, highly-scalable object storage. Amazon S3 is easy to use, with a simple web services interface to store and retrieve any amount of data from anywhere on the web.

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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