A Big Data Standardization Technique for Data Management Application | A New Algorithm for Analyzing and Sequencing the Big Data

M. Ishwariya (u. a.)

ISBN 10: 3659638749 / ISBN 13: 9783659638749

Published by LAP LAMBERT Academic Publishing, 2022

About this Item

A Big Data Standardization Technique for Data Management Application | A New Algorithm for Analyzing and Sequencing the Big Data | M. Ishwariya (u. a.) | Taschenbuch | Englisch | 2022 | LAP LAMBERT Academic Publishing | EAN 9783659638749 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 121380726

Bibliographic Details

• Title: A Big Data Standardization Technique for Data Management Application | A New Algorithm for Analyzing and Sequencing the Big Data
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2022
• Language: English
• ISBN 10: 3659638749
• ISBN 13: 9783659638749
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 4D millimeters 220 millimeters width by 150 millimeters height by 4 millimeters depth
• Weight: 102 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.