Explore the daily challenges faced by data engineers in this 41-minute presentation that delves into the essential components for building robust end-to-end Big Data solutions. Gain insights into Delta architecture from a data engineer's perspective, covering topics such as Spark streaming, processing rates, handling corrupted data, and schema enforcement. Learn about the intricacies of Delta operations, including deletes, transaction logs, and time travel capabilities. Discover how to leverage Spark DataFrames and utilize powerful commands like vacuum for optimizing Delta tables. Walk away with a comprehensive understanding of Delta's features and their practical applications in data engineering workflows.