Enhancing Data Pipeline Efficiency with Backfills and Partitioning

The chapter explores the significance of backfills in data pipelines for efficiently refreshing periodically updated data sets like AWS cost reports. It emphasizes the role of partitions in organizing data and running specific pipeline sections, saving resources and improving efficiency. The discussion covers scenarios requiring pipeline reprocessing, benefits of structured logging, and the advantages of using frameworks like Dagster for debugging and optimizing data persistence.