ML6 • Blog

Explore the world of multi-language pipelines and learn how to leverage Apache Beam for cross-language data processing.

Written by Andres Vervaecke | Dec 14, 2022 11:00:00 PM

This blog post introduces the concept of multi-language pipelines using Apache Beam. It explains how to leverage I/O connectors and transforms from different languages in your favorite language without reinventing the wheel. The post provides a step-by-step guide with a working demo of a Python pipeline reading and writing data from/to the Java FireStoreIO connector. It covers the implementation of required interfaces in Java, setting up a local expansion service, and building the Python pipeline. Although multi-language pipelines are still in early development and have limitations, this blog post offers a starting point for creating such pipelines.

The blogpost can be found on our Medium channel by clicking this link.