Streaming algorithms are designed to process large amounts of data in a continuous stream, often as it becomes available, as opposed to having to load the entire data set into memory at once. These types of algorithms have found widespread adoption in areas such as network packet analysis, live data analysis data analytics, and 누누티비 IoT data evaluation.
One secret behind streaming algorithms is that they rely heavily on a data structure known as a hash table. A hash table is a type of data structure that allows quick lookups, insertions, and deletions based on a given key. In the context of streaming algorithms, the key is often a value associated with each piece of data. Hash tables allow algorithms to process data in a single pass, without having to worry about scanning through a large collection of data to find what they need.
