Cross-Server Data Joins on Slow Networks with Python

Learn efficient techniques for querying and joining data across distant machines using Python in this 29-minute PyCon US talk. Discover strategies to overcome network bottlenecks when working remotely, including methods for handling large datasets that exceed local memory constraints. Explore various techniques and packages for optimizing cross-server joins, enabling you to work with local and remote datasets as efficiently as possible, even in slow network environments.

Talks - Bert Wagner: Cross-Server Data Joins on Slow Networks with Python