Big Data Concept

  Introduction The exponential growth of data in the digital age has pushed classical computing systems to their limits, creating significant bottlenecks in big data processing. These bottlenecks, including processing speed, storage capacity, and data transfer, hinder the ability to extract timely insights from massive datasets. Quantum computing, with its unique computational paradigm based on quantum mechanics, offers potential solutions to these challenges. This chapter examines specific big data bottlenecks and explores how quantum computing can address them, paving the way for more efficient data processing. Big Data Bottlenecks in Classical Computing Big data processing involves handling vast, complex, and rapidly generated datasets, which classical systems struggle to manage efficiently. The primary bottlenecks include: 1. Processing Speed Description : Classical computers process data sequentially or in parallel using CPUs and GPUs, but the computational complexity of bi...