Handling large datasets in Google Sheets can be challenging due to its limitations compared to more robust data management tools. However, I have developed strategies to manage this effectively. First, I ensure that the dataset is as lean as possible by including only the necessary columns and rows. This helps in reducing the load and improving performance. I also utilize Google Sheets' built-in functions like QUERY, FILTER, and ARRAYFORMULA to process data efficiently without duplicating efforts. Additionally, I leverage pivot tables for summarizing data, which allows me to analyze large datasets without compromising speed. For more complex operations, I use Google Apps Script to automate tasks and reduce manual processing time. By setting up these scripts, I can automate repetitive tasks and ensure data is processed quickly. Finally, I regularly check and optimize formulas to ensure they are not unnecessarily complex, which can slow down performance. These practices help me manage large datasets effectively in Google Sheets.