The article by Charles Wang, dated December 20, 2018, provides a detailed guide on incrementally migrating data from Amazon Redshift tables using AWS Lambda. It focuses on leveraging AWS services to efficiently handle data transfers, ensuring that only the necessary data is moved, thereby optimizing performance and reducing costs. The process involves setting up triggers and using AWS Lambda functions to detect changes in data, which are then used to incrementally update the target database. This approach allows for real-time data processing and minimizes the need for full table scans, making it a scalable solution for managing large datasets in cloud environments.