Analyze Mailjet data in Jupyter.
Load your Mailjet data to your data warehouse to run custom SQL queries on your customer data and to generate reports and dashboards using Jupyter. Combine your Mailjet 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 Mailjet data flow into Jupyter.
Add Mailjet as a data source.
Map Mailjet data to Jupyter.
See Mailjet data flow into Jupyter.
Export your Mailjet data along with all of
your other data sources to Jupyter.
Bring all your data sources together
Select from any number of data sources, from low to high volume, Alooma’s infrastructure scales to your needs.