Streaming Algorithms

Streaming algorithms are specialized methods for processing large volumes of data that arrive in a continuous flow, like real-time social media feeds or sensor readings. Instead of storing all the data, these algorithms analyze it on-the-fly, using limited memory. This allows them to efficiently compute valuable information, such as averages or counts, without needing to retain every individual piece of data. They strike a balance between accuracy and resource efficiency, making them useful for situations where data is too large to store but insights are needed promptly.