There are many challenges which can be managed by the use of hash tables to store elements which can later be looked up later in any program. The naïve coders mostly underestimate the importance of a hash table. With its comprehensive applications, hash table is a data structure which is fashioned in a way that it gets created when a vale is hashed and then it gets stored and you can create your own table if you have a list of names.

At first it seems like a lot of work with no prominent output but these hash tables have an enchanting property that speeds up operations that are critical. These critical operations are mostly asked in interviews.

This type of technology can be used for listing products on websites. So that instead of dealing with individual items, hashing every data and finding it quickly when needed in a large database is an advantage.

The questions which can be framed on hash tables are based on searching for elements in a big data pool, searching for duplicate elements in the database and reinstating or retrieving data swiftly. There are many challenges and tasks that can be resolved by using hash tables. Some of them are letter counts, two sum, three sum, non-repeating character, mean mode, etc. The initial novices who are still learning effective programming tackle the above topics by writing nested loop. It is manageable at a low scale. But when it comes to real time application when there are millions of data hash table does play a major role.