Big Data Management: Challenges and Innovations in NoSQL Databases

Abstract

The study provides a comprehensive overview of NoSQL databases, delineating their diverse
architectures, encompassing document-based, key-value, column-family, and graph
databases. By scrutinizing the intricacies of each type, this research articulates how NoSQL
databases adeptly address the intricate demands of Big Data. Central to this exploration are
the identified challenges in Big Data Management. Scalability, a pivotal hurdle, is scrutinized
vis-à-vis the horizontal scaling capabilities of NoSQL databases. Furthermore, the paper
elucidates the nuanced performance trade-offs concerning the CAP theorem, illustrating how
NoSQL databases navigate the terrain of consistency, availability, and partition tolerance.