PEMETAAN BIG DATA DENGAN IMPLEMENTASI AGGREGATION PIPELINE PADA MONGODB UNTUK PEMBENTUKAN DATAMART; BIG DATA MAPPING WITH AGGREGATION PIPELINE IMPLEMENTATION IN MONGODB FOR DATAMART DEVELOPMENT

Madya, Yulinri Tri, Mardhani Riasetiawan

2015 | Skripsi | FMIPA

A digital data has metadata element that presents information about the data itself. Started from metadata management, it can be obtained a lot of information that can be served and developed. One of them is metadata development as the way of managing data in the era of Big Data nowadays. This research will be focused on mapping big data’s element by using agregation pipeline method. Mapping elements big data will be conducted by virtue of conformity definition object parameter, the result of FITS metadata extraction, with definition from five of Big Data’s characteristic. Every file which processed in system will be extracted and the outcome from the extraction will generate some object parameters. Assambleged of objects extraction will passed to aggregation process which using aggregation pipeline method, and will be stored in a nonrelational database. Information from the process will be presented in the form of datamart display. Based on the test result, Implementation of aggregation pipeline method has been succesfull developed, wich capable to supporting mapping Big Data parameter based on defifnition and then presented in datama mart concept, according to the needs that system has been designed. This application is able to store, manage and display a variety of file formats and it is contained with big data’s element and preservation metadata. Meanwhile features contained in the system is upload file, download file, explore file, searching, and user management.

Kata Kunci : metadata; extraction; datamart; aggregation pipeline,; non-relasional database