An Analytic Real Life Case Study of Google Cloud computing architecture Platform’s for Big Data Analytics Products from AWS, Azure and GCP

Computer Science & Application

A large amount of data, structured or unstructured, is called "Big Data", which mainly consists of five properties such as volume, velocity and variation, validation and value of which value is the most important whose main purpose is to extract relevant information. . The other four V’s to solve this problem of polite data and analysis; various technologies have emerged in the last decades. "Cloud computing" is a platform where thousands of servers work together to meet various computing needs and billing is done as per 'pay-as-you-go' increases. This study will present a novel dynamic scaling methodology to improve the performance of big data systems. A dynamic scaling methodology will be developed to scale the system from a big data perspective. Furthermore, these aspects will be used by the algorithm of the supporting project, which can be broken down into smaller tasks to be processed by the system. These small bangles will be run on multiple virtual machines to perform parallel work to increase the runtime performance of the system.

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