Atnaujintas knygų su minimaliais defektais pasiūlymas! Naršykite ČIA >>
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.
| Autorius: | M. Ishwariya, R. Franklin Issac, |
| Leidėjas: | LAP LAMBERT Academic Publishing |
| Išleidimo metai: | 2022 |
| Knygos puslapių skaičius: | 56 |
| ISBN-10: | 3659638749 |
| ISBN-13: | 9783659638749 |
| Formatas: | 220 x 150 x 4 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „A Big Data Standardization Technique for Data Management Application: A New Algorithm for Analyzing and Sequencing the Big Data“
