This document discusses parallel and asynchronous processing using the Task Parallel Library (TPL) Dataflow. It introduces dataflow as an actor-based programming model for creating data processing pipelines with in-process message passing. TPL Dataflow provides blocks like SourceBlock, TargetBlock, and PropagatorBlock that can be composed into pipelines. It offers benefits like effortless use of multithreading and performance boosts. Examples of where dataflow can be useful include robotics, manufacturing, imaging, biology, oil and gas, and finance.