International Journal of Scientific Research and Engineering Development

Big data analytics refers to the process of analyzing extremely large and complicated data to identify useful patterns and insights. Conventional computer systems are not capable of managing this kind of data since they are unable to match speed, size, and costs needed. Cloud computing offers a remedy by providing elastic storage, strong processing, and sophisticated tools for analysis. With the help of cloud-based services and frameworks like Hadoop, Spark, and machine learning tools, organizations can handle both real-time and batch data more easily. Features like pay-as-you-go pricing, global access, and built-in security make the cloud suitable for many industries. Although there are issues like costs of data transfer, latency, and vendor dependence, cloud analytics is now crucial for companies to remain competitive and take informed decisions.