The Role of Big Data in Internet Advertising Problem Solution

Full Text (PDF, 517KB), PP.10-19

Views: 0 Downloads: 0

Author(s)

K.K. Hashimova 1,*

1. Institute of Information Technology of ANAS

* Corresponding author.

DOI: https://doi.org/10.5815/ijeme.2016.04.02

Received: 5 Apr. 2016 / Revised: 29 Apr. 2016 / Accepted: 7 Jun. 2016 / Published: 8 Jul. 2016

Index Terms

Big Data, Internet, Web page, Web-server, ETL, information technology, consumer, RTB, marketing, business, economy, advertising

Abstract

The article highlights Big Data and Internet advertisement problems. It describes the role of Big Data in the Internet advertising, and their interaction. The article explains the development and implementation of the Web-page concept, and evaluation of its effectiveness, as well as the obstacles for the work with Big Data. It thoroughly studies the role of big data in marketing.

Cite This Paper

K.K. Hashimova,"The Role of Big Data in Internet Advertising Problem Solution", International Journal of Education and Management Engineering(IJEME), Vol.6, No.4, pp.10-19, 2016. DOI: 10.5815/ijeme.2016.04.02

Reference

[1]Apache Hadoop in the cloud using Big Data Processing System, www.researchgate.net.

[2]How to create a website for advertising agency, Laboratory of Advertising, Marketing and Public Relations, No 7/8, 2001.

[3]Ivanov P.D., Lopukhovsky A.G. Big Data technologies and different methods of presenting big data. Engineering Journal: Science and Innovation, 2014, vol. 9. No9 (33).

[4]Alguliyev R.M.,Aliyev A.G, Shahverdiyeva R.O. Development of information support systems for management of innovative structures. The 8th IEEE International Conference on Application of Information and Communication Technologies (AICT2014). Kazakhstan, Astana, 15-17 October 2014. pp. 378-382.

[5]2015-03-042015-03-04Manual -M. Publishing House "Vilyame" 2000.

[6]AlguliyevR., HajirahimovaM., "Big Data" Phenomenon: Challenges and Opportunities // Journal of Problems of Information Technologies, 2014, No2, pp. 3-16.

[7]GaurV., DhyaniP., Rishi O. P. A GA-Tabu Based User Centric Approach for Discovering Optimal Qos Composition PP.56-62, Pub. Date: 2015-2-8 DOI: 10.5815/ijmecs.2015.02.08.

[8]ZikopoulosPaul C., McGraw H.Understanding Big Data: analytics for enterprise class hadoop and streaming data, 2012.

[9]KaurR., MahajanM., Enhanced Ranking Based Cloud Searching with Improved Metadata Storage: A Case Study for Relevancy of Files PP.40-47, Pub. Date: 2016-1-8 DOI: 10.5815/ijmecs.2016.01.06.

[10]Manual. Edited by Glazyev. -M .: Basics of e-commerce: MSUK, 2001.

[11]Kuritskiy A.B. Internet economy. Spb., 2000.

[12]http://www.mckinsey.com/insights/ business technology/big data the next frontier for innovation.

[13]www.computerworld.com.tr/featured/buyuk-veri-ile-gelen-tasarruf/.

[14]http://rusbase.com/news/big-data-adv/.

[15]http://instam.ru/BIG-Data.

[16]http://lpgenerator.ru/blog/2015/11/17/chto-takoe-big-data-bolshie-dannye-v-marketinge-problemy-algoritmy-metody-analiza/

[17]http://www.marketing.spb.ru/lib-research/methods/Big_Data.htm.

[18]http://lpgenerator.ru/blog/2015/11/17/chto-takoe-big-data-bolshie-dannye-v-marketinge-problemy-algoritmy-metody-analiza/.