Apache Beam is a top-level Apache project which aims at providing a unified API for efficient and portable data processing pipeline. Beam handles both batch and streaming use cases and neatly separates properties of the data from runtime characteristics, allowing pipelines to be portable across multiple runtimes, both open-source (e.g., Apache Flink, Apache Spark, Apache Apex, ...) and proprietary (e.g., Google Cloud Dataflow). This talk will cover the basics of Apache Beam, describe the main concepts of the programming model and talk about the current state of the project (new python support, first stable version). We'll illustrate the concepts with a use case running on several runners.