Explore the world of sketching algorithms for big data analysis in this conference talk from Conf42 Python 2024. Dive into the concept of sketches as approximate data structures, understanding their characteristics, components, and advantages over exact computations. Learn about distributed processing challenges, the importance of sublinear data structure growth, and mergability in sketch design. Discover various types of sketches, with a focus on the Count-Min Sketch algorithm. Gain insights into open-source sketching libraries like Apache DataSketches and their extensions. Equip yourself with knowledge to tackle non-additive challenges in data processing and understand why sketches offer faster solutions for big data problems.