Implements and Integrates Data-Centric Applications based on Big Data Analysis Service on Big Data Platforms

Abstract

Big data is now an integral part of many fields of research due to the rapid advancement of digital tools for data processing. With the system's help, the business analysis process may be quickly developed and implemented with flexibility, allowing for faster contact and reaction times. It also helps with the management and development of smart data analysis programmes, which are constantly evolving. The suggested method enables users to do batch and streaming computations concurrently by combining online-streaming analysis with offline-batch models. Big data analysis using cloud capabilities and user-customizable workflow techniques are also available. Cloud workflow system modelling, application customisation, dynamic construction, and scheduling are all included in this study. To improve efficiency, it is suggested to use a chain workflow foundation mechanism that combines multiple analytic components into one. To ensure the system's analytical competence, four real-world application examples are given. The results of the experiments demonstrate that the suggested system makes good use of data analysis methods and can handle numerous users logging in at the same time. Network operators have used the suggested SaaS workflow solution, and it has proven successful for them.