Introducing MLOps by Mark Treveil, et al, provides a thorough, but relatively non-technical, enterprise-level introduction to MLOps. I, being at a big company and new to ML, found this book helpful for developing a big picture for how to build and maintain ML infrastructure.

The Data Pipeline Pocket Reference by James Densmore is a practical overview of pipeline concepts and terminology. It demonstrates most concepts using framework-agnostic Python scripts. It also provides a good introduction to MLOps by recommending popular solutions to common problems, like Apache Airflow for orchestration. I’d recommend it to anyone ramping up on MLOps.