This research paper introduces a new data structure called the Count-Min Sketch for summarizing large datasets. This method is particularly useful for analyzing data streams, where data arrives continuously and must be processed quickly. The Count-Min Sketch allows for fast and accurate approximations of various functions of interest, such as point queries, range queries, and inner product queries. This approach significantly improves upon existing methods in terms of both space and time complexity, which is particularly relevant for handling massive datasets in applications like network traffic analysis and database monitoring. Link to the paper: https://dsf.berkeley.edu/cs286/papers/countmin-latin2004.pdf