Big Data Analysis using Cloud Computing: Opportunities, Challenges and Applications

Abstract: Big Data and cloud computing have revolutionized data storage, processing, and analysis, enabling businesses and industries to manage vast volumes of data efficiently. Cloud computing provides scalable infrastructure, cost-effective storage solutions, and real-time analytics capabilities, making it an essential platform for Big Data applications. This study explores the opportunities, challenges, and applications of Big Data analysis in cloud environments, highlighting key technologies such as Hadoop, Spark, and cloud-based data warehousing solutions. The research identifies major challenges, including data security, integration complexities, and performance bottlenecks, while proposing solutions such as encryption, real-time analytics frameworks, and hybrid cloud models. Furthermore, it discusses industry applications across healthcare, finance, IoT, and business intelligence. The findings demonstrate that cloud-based Big Data solutions enhance operational efficiency, decision making, and scalability, paving the way for future advancements in AI-driven analytics, edge computing, and cross-cloud integrations.