Data Engineering•2020-04-08•7 min read
Connect Jupyter with Amazon AWS Athena
A practical walkthrough for querying large historical datasets from notebooks using Athena, MFA, and Python connectors.
Data EngineeringAthenaAWSJupyter
Querying historical data directly from Athena enables efficient analysis without moving full datasets into local environments.
This guide outlines secure access patterns with IAM and MFA, then connects those credentials to notebook-based analysis workflows.
It reflects a practical bridge between analytics experimentation and cloud-scale data access.
Original reference
Open source article ↗