Abstract
In recent years companies and public institutions have long been accumulating and analyzing log data, and various types of data. It is building big data analytics platform for a variety of data analysis. Big data analysis platform may consist of distributed processing type quickly analysis large amounts of data. Recently, build a big data systems for companies and public institutions in the analysis of large amounts of data. Companies are providing a variety of services to users through data analysis. The public institutions are used to analysis a specific period of time and is useful in transportation, urban design, and commercial area analysis. In addition, national authorities to share that holds the data and the public and various analysis. However, it is a big data analytics projects that emerged as an issue in recent years this trend. Big Data Analytics project is to derive business results through data collection, data analysis and then build a big data platform. Currently, many companies have problems with the case of big data analysis projects using a methodology developed its own methodology and the CBD doing business. In this paper defines big data Analysis Methodology, and suggests construct standards and construct procedures.
| Original language | English |
|---|---|
| Title of host publication | Advances in Computer Science and Ubiquitous Computing - CSA-CUTE2016 |
| Editors | Vincenzo Loia, James J. Jong Hyuk Park, Gangman Yi, Yi Pan |
| Publisher | Springer Verlag |
| Pages | 1025-1030 |
| Number of pages | 6 |
| ISBN (Print) | 9789811030222 |
| DOIs | |
| State | Published - 2017 |
| Event | 11th International Conference on Ubiquitous Information Technologies and Applications, CUTE 2016 - Bangkok, Thailand Duration: 19 Dec 2016 → 21 Dec 2016 |
Publication series
| Name | Lecture Notes in Electrical Engineering |
|---|---|
| Volume | 421 |
| ISSN (Print) | 1876-1100 |
| ISSN (Electronic) | 1876-1119 |
Conference
| Conference | 11th International Conference on Ubiquitous Information Technologies and Applications, CUTE 2016 |
|---|---|
| Country/Territory | Thailand |
| City | Bangkok |
| Period | 19/12/16 → 21/12/16 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
Keywords
- Big data
- Big data analysis
- Big data methodology
- Big data procedure
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