A REVIEW ON CLOUD COMPUTING AND BIG DATA USED FOR SCIENTIFIC RESEARCH

The digital era, marked by the exponential growth of data and advancements in technology, has been revolutionized by the integration of cloud computing and big data. These technologies have transformed the way data is generated, stored, and analyzed, with applications extending across various fields, including scientific research. Cloud computing provides scalable, flexible, and cost-efficient infrastructure, while big data analytics enables the extraction of valuable insights from vast, diverse datasets. Together, they address the challenges posed by the increasing volume, velocity, and variety of data, facilitating innovation and smarter decisionmaking. This review explores the fundamentals of cloud computing, its deployment and service models, the defining characteristics of big data, and their synergistic impact on scientific research. It highlights the transformative role of these technologies in enabling data-driven discoveries while acknowledging challenges such as data security and integration complexities. As the adoption of cloud-based big data technologies grows, their potential to drive innovation and enhance scientific collaboration continues to expand.