Aug 2026· Social Science Research Network· 0 citations· 8 references
TL;DR
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.
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.
A novel hybrid approach for efficient big data query processing through a two-phase approach that combines the parallel processing capabilities of HDFS Map-Reduce with the optimization power of PSO, contributing to an overall improvement in query processing efficiency for large-scale datasets.
S. Selvan, Gowri R. Punitha, V. V. Nathan et al.· ITEGAM- Journal of Engineeri...· 0 citations
This article aims to cope with the problem of high memory usage and low processing efficiency when computers process a large amount of data in the era of big data, and conducts research on MapReduce based on a serverless platform and finds that MapReduce is able to accurately measure the processing time, communication...
Data warehouses today are an essential part of existing Business Intelligence (BI) solutions, that collect data from multiple sources and enable analytical processing for strategic decision making. However, as enterprise data grows, and analytical queries become more complex, faster insights are demanded that present a...
Purushotham Jinka· World Journal of Advanced En...· 0 citations
Big data analytics involves the processing and analysis of vast and complex datasets to extract
valuable insights and make effective decisions. Big data analytics faces several challenges related
to data quality, privacy, integration, expertise, cost, and technology evolution. Conventional
methods and infrastructures f...
C. Onyekwelu· International Journal of Com...· 0 citations
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