Big Data Analytics has become a fundamental component of modern cloud-based enterprise systems, enabling organizations to extract valuable insights from massive volumes of structured and unstructured data. This study explores the integration of big data analytics within cloud computing environments, highlighting how cloud platforms provide scalable storage, high-performance processing, and cost-efficient infrastructure for handling complex datasets. The paper examines key technologies such as distributed computing frameworks, data lakes, real-time streaming, and advanced analytics techniques including machine learning and predictive modeling. It also discusses how enterprises leverage cloud-based analytics to enhance decision-making, optimize operations, and gain competitive advantages across domains such as finance, healthcare, retail, and manufacturing. Furthermore, the study addresses critical challenges including data security, privacy, data governance, and latency issues, along with strategies to mitigate these concerns. The findings emphasize that the combination of big data analytics and cloud computing empowers organizations to become more agile, data-driven, and innovative in a rapidly evolving digital landscape.