A Big Data Standardization Technique for Data Management Application - Ishwariya, M.;Issac, R. Franklin
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Big Data is a collection of different data management applications that support multiple analytics uses. Analytics without the ability to manage large data is not an effective, and so, enterprises explore to leverage Big Data technology such as Hadoop. A new turning technique (Semi Infinite Distribution) is introduced to standardize the large data in cloud or online resources. The effectiveness of the technique is evaluated using a Taillord Benchmark Data and the results are compared with the current FIFO based sequencing technique. A better improvement is achieved about 80.8% in completion…mehr

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Produktbeschreibung
Big Data is a collection of different data management applications that support multiple analytics uses. Analytics without the ability to manage large data is not an effective, and so, enterprises explore to leverage Big Data technology such as Hadoop. A new turning technique (Semi Infinite Distribution) is introduced to standardize the large data in cloud or online resources. The effectiveness of the technique is evaluated using a Taillord Benchmark Data and the results are compared with the current FIFO based sequencing technique. A better improvement is achieved about 80.8% in completion time by sacrificing an average 0.06milliseconds of process time.
Autorenporträt
Frau M. Ishwariya ist eine aktive Forscherin auf dem Gebiet der sozialen Online-Netzwerke, der Verarbeitung großer Datenmengen und der Verarbeitung von Datenbildern. Derzeit arbeitet sie als Assistenzprofessorin in der Abteilung für Informatik und Ingenieurwesen am Agni College of Technology in Chennai. Ihre Forschungsergebnisse wurden in mehreren internationalen Fachzeitschriften und Konferenzen veröffentlicht.