You are tasked with optimizing a Python application that processes large amounts of data and is running out of memory. Which technique would you use to manage memory more efficiently?

To manage memory more efficiently in a Python application processing large data, you can implement lazy loading. This means loading data into memory only when it's needed, reducing the overall memory consumption. Increasing RAM might not always be possible or cost-effective, and optimizing the CPU won't directly address memory issues. Using memory-efficient data structures is a good practice but might not be sufficient in all cases.