Q5Cloud Computing
Question
Q.5. Explain the data analysis application of cloud computing.
Answer
Cloud computing supports large-scale data analysis applications by providing on-demand, elastically scalable computing and storage resources for big data processing frameworks (such as Hadoop/Spark), enabling organizations to analyze massive datasets without owning dedicated high-capacity infrastructure.
The data analysis application of cloud computing refers to the use of cloud-based, elastically scalable computing and storage resources to process and analyze very large datasets (big data) that would be impractical or uneconomical to process on locally-owned infrastructure. Cloud platforms provide on-demand access to large clusters of compute nodes (which can be provisioned only for the duration of the analysis job and then released, avoiding the cost of owning permanently idle high-capacity hardware), managed big-data processing frameworks (such as Hadoop MapReduce, Apache Spark, or managed data-warehouse services), and integrated storage services capable of holding petabyte-scale datasets — enabling organizations of any size to perform sophisticated data analytics, machine learning, and business intelligence workloads by simply renting the necessary compute and storage capacity from a cloud provider on a pay-as-you-go basis, rather than making a large upfront capital investment in dedicated analytics infrastructure.