Explore TensorFlow Extended (TFX), a comprehensive machine learning platform, in this 32-minute conference talk from the TensorFlow Dev Summit 2019. Dive into TFX's pre-training workflow, focusing on crucial aspects such as Data Validation and Transformation. Learn about building components, model export paths, data distribution visualization, and model tracking. Discover how to handle multiple models, utilize shared configuration models, and implement orchestration. Gain insights into data ingestion, analysis, and understanding through statistics and anomaly reports. Understand the importance of schema validation and various transformation techniques, including transform utility, pipeline, label, and graph. Enhance your machine learning pipeline knowledge with practical examples and workshop context provided by Product Manager Clemens Mewald.