Overview for Optimizing Data Structures for Efficient Big Data Handling

Abstract

The exponential growth of big data makes it harder to handle and process data in new ways. To handle these big, complicated files efficiently, you need data structures that are optimized and can make accessing, storing, and computing them quick. The goal of the paper is to look into different data structures so that handling big data is faster. Traditional data models often can't keep up with the needs of volume, velocity, and variety as data grows at an exponential rate. This study will examine the performance characteristics, optimization techniques, different algorithms, tools, methods, challenges and novel and extant data structures in order to enhance the handling, querying, and processing of large-scale datasets.