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To minimize this problem NoSQL Database MongoDB has come into play. Also,\nMongoDB is very popular nowadays so I choose this in my project. It also helps\nnew MongoDB learners \u0026 it is very easy to operate since it is schemaless, join free,\ndocument-oriented database and can handle a large amount of structured or\nunstructured data.\nI have also implemented the Apriori algorithm using excel,\nRDBMS(MySQL) and found that the execution gets slow. So I used MongoDB as\ndatabase. At the end, I compared their execution time and found that MongoDB\nis 79% faster than excel files and 73% faster than RDBMS(MySQL).\nBy this project I can prove that in Bigdata environment, MongoDB will\nbe a great choice and these days there are a lot of demand on the market for NoSQL\napplications. So I think this application will be very helpful for people who are\ninterested in MongoDB to use structured and unstructured data. \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fswag-code%2Fperformance-analysis-of-apriori-algorithm-using-mongodb","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fswag-code%2Fperformance-analysis-of-apriori-algorithm-using-mongodb","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fswag-code%2Fperformance-analysis-of-apriori-algorithm-using-mongodb/lists"}