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- W3171759919 abstract "Big data is a term that refers to a significant amount of structured, semi-structured, or unstructured data. In today's business world, data is critical to the success of a company. Big Data projects and technologies are being utilised to examine this huge amount of data in order to gain insights that can aid in strategic decision-making. That is why managing such a big amount of data will be difficult and complex. In practise, there are several challenges to processing and calculating this data, including server administration, storage, clustering, algorithm deployment, and so on. Because everything is done manually in the Cloud, it's impossible to design the correct architecture for data analysis. Serverless computing is a method of providing clients with pay-per-use backend services. Serverless computing is a method of providing clients with pay-per-use backend services. Users can write and deploy programmes without having to worry about running and managing servers with a serverless service. This paper illustrates how to implement, operate, and control a serverless big data application on AWS, as well as how to provide a serverless architecture for big data processing (Amazon Web Service). In addition, in a serverless system, we will show the distinction between standard data analytics and big data analytics." @default.
- W3171759919 created "2021-06-22" @default.
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- W3171759919 date "2021-06-01" @default.
- W3171759919 modified "2023-09-23" @default.
- W3171759919 title "Big Data Processing Using Serverless Computing" @default.
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