The "Sliding Window" technique is a method used in computer science to efficiently manage a subset of data within a larger dataset. It involves maintaining a window that can expand or contract as needed, allowing for the examination of contiguous elements without the need to repeatedly process the entire dataset. This approach is particularly useful in problems involving arrays or strings, where you need to analyze or compute values over a specific range. This technique is commonly applied in algorithms for tasks such as finding the maximum sum of a subarray or detecting patterns within a string. By adjusting the window's size and position, developers can optimize performance and reduce time complexity, making it a valuable tool in programming and data analysis.