Integration of Big Data Analytics with Cloud Computing Platforms

Abstract

The exponential increase in data production from various sources, including IoT devices, social media, and corporate systems, has created an unprecedented demand for scalable and efficient data processing solutions.  Big Data Analytics (BDA) combined with Cloud Computing (CC) offers a promising framework that provides elastic scalability, cost efficiency, and accessibility, facilitating real-time analytics and data-driven decision-making.  This article provides an in-depth analysis of the designs, deployment strategies, advantages, and challenges associated with BDA-CC integration.  We emphasize significant industrial applications in healthcare, smart cities, retail, and finance, with a focus on security, privacy, and compliance issues.  Ultimately, prospective research avenues, including quantum-enhanced analytics, federated learning, and sustainable computing, are examined.  The document is intended for practitioners and researchers seeking to utilize cloud-based analytics for business intelligence and innovation.