Analyze MongoDB Sharded Cluster data in Jupyter.

Load your MongoDB Sharded Cluster data to your data warehouse to run custom SQL queries on your customer data and to generate reports and dashboards using Jupyter. Combine your MongoDB Sharded Cluster 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 MongoDB Sharded Cluster data flow into Jupyter.


Integrate

Add MongoDB Sharded Cluster as a data source.

Connect

Map MongoDB Sharded Cluster data to Jupyter.

Watch

See MongoDB Sharded Cluster data flow into Jupyter.

Export your MongoDB Sharded Cluster data along with all of
your other data sources to Jupyter.

MongoDB Sharded Cluster

MongoDB is a cross-platform, highly scalable document oriented NOSQL database, used by thousands of organizations, from startups to fortune 100. Sharding is used to support deployments with very large data sets and high throughput operations.

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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