Modeling Streaming Data for Processing with Apache Beam

Streaming data must be processed in real-time, or close to real-time. Stream processing systems must have the ability to process data with low latency and high performance. This course Modeling Streaming data for processing with Apache Beam will teach you how to work with streams. You'll also learn how to use the Beam unified model to create parallel data pipelines. You will first learn the differences and similarities between batch and stream processing. Next, you'll learn about Apache Beam APIs. These APIs allow you to create pipelines that can process both streaming and batch data. You will also learn about windowing operations that can be used to stream data. This course will give you a solid understanding of streaming data models and architectures. You will also be able use the Beam unified model to create and execute transformations on input streams.