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Designing Scalable Big Data Storage with NoSQL for Massive Datasets

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1. Introduction In the era of digital transformation, organizations are generating and collecting data at an unprecedented scale. Big data, characterized by its volume, velocity, variety, and veracity, poses significant challenges for traditional storage systems. Massive datasets from sources like social media, IoT devices, e-commerce transactions, and scientific simulations demand storage solutions that can scale horizontally, handle unstructured data, and provide high performance without compromising availability. NoSQL databases have emerged as a cornerstone for addressing these needs, offering flexible schemas and distributed architectures designed for scalability. This chapter explores the principles, techniques, and best practices for designing scalable big data storage using NoSQL, providing a comprehensive guide for architects, developers, and data engineers. 2. Understanding Big Data Challenges Big data refers to datasets that are too large or complex for traditional relati...