Apache: Big Data North America 2017

Apache Beam is a unified programming model capable of expressing a wide variety of both traditional batch and complex streaming use cases. By neatly separating properties of the data from run-time characteristics, Beam enables users to easily tune requirements around completeness and latency and run the same pipeline across multiple runtime environments. In addition, Beam's model enables cutting edge optimizations, like dynamic work rebalancing and autoscaling, giving those runtimes the ability to be highly efficient.

This talk will cover the basics of Apache Beam, touch on its evolution, and describe the main concepts in its powerful programming model. We'll include detailed, concrete examples of how Beam unifies batch and streaming use cases, and show efficient execution in real-world scenarios.