This article could delve deeper into more complex scenarios for using Data Tables. While the initial piece covers the fundamentals, exploring advanced filtering techniques, data transformation within Data Tables, and methods for efficiently handling larger datasets (within the Data Table's limitations) would be highly valuable. It could also cover practical strategies for overcoming some of the limitations mentioned, such as breaking down large datasets into smaller, manageable chunks or implementing clever workarounds to simulate more complex query operations. Real-world case studies showcasing these advanced techniques would further enhance the reader's understanding and provide inspiration for their own automations. Furthermore, this article could detail using expressions and functions within the Data Table node to perform more intricate data manipulation, along with strategies on how to handle errors and exceptions that might arise during Data Table operations,