INFORMATION CHANGE THE WORLD

International Journal of Wireless and Microwave Technologies(IJWMT)

ISSN: 2076-1449 (Print), ISSN: 2076-9539 (Online)

Published By: MECS Press

IJWMT Vol.6, No.2, Mar. 2016

Managing Big Data: A Step towards Huge Data Security

Full Text (PDF, 314KB), PP.10-20


Views:84   Downloads:2

Author(s)

PankajDeep Kaur, Awal Adesh Monga

Index Terms

Hadoop;Big Data Integration;Big Data Manipulation;Big Data Quality;Big Data Governance and Management

Abstract

Big data management (BDM) is the administration, management and governance of large volumes of all types of structured, semi-structured and unstructured data. Big data management is a blend of old and new best practices, teams, data types, skills, and home-grown or industrial-built functions and methods. Big Data Management is at the genesis of massive change to technology that will spur massive societal and industrial change. In this paper, different key factors kept in mind while managing big data are discussed along with the process of managing data so that organisations can get secure and accurate data. Further different developers have introduced methods have also been discussed and with it the main tools used in management of Big Data are introduced in this paper. BDM is suffering from many issues in the world are also explained here. Big Data Management deals with the integration, manipulation, quality and governance and management of Big Data including the key factors- Volume, Velocity and Variety of Big Data.

Cite This Paper

PankajDeep Kaur, Awal Adesh Monga,"Managing Big Data: A Step towards Huge Data Security", International Journal of Wireless and Microwave Technologies(IJWMT), Vol.6, No.2, pp.10-20, 2016.DOI: 10.5815/ijwmt.2016.02.02

Reference

[1]Fern Halper, "Big Data Management", TDWI E-Book, January 2014.

[2]Talend White Paper, "Four Key Pillars for Big Data Management Solution", 2013.

[3]Vinayak Borkar, "Inside "Big Data Management":Ogres, Onions, or Parfaits?", EDBT Association, 2012.

[4]Talend White Paper, "A Total Data Management for Big Data", September 2012.

[5]George Gilbert, "A Guide To Big Data Workload Management Challenges", GigaOM PRO, May 2012.

[6]www.michael-noll.com/tutorials/running-Hadoop-on-ubuntu-linux-single-node-cluster/.

[7]Philip Bernstein, "Big Data White Paper", Microsoft, Feb 2012.

[8]Eric Bassier, "Big Data: Managing Explosive Growth", Quantum, Jan 2012.

[9]Philips Rossum,"Managing Big Data", TDWi Research, fourth quarter 2013.

[10]Doug Cackett, "Information Management And Big Data A Reference Architecture", Oracle, February 2013.

[11]http://searchdatamanagement.techtarget.com/definition/big-data-management.

[12]Ash Ashutosh, "Best Practices For Managing Big Data", Forbes, May 2012.

[13]Michael Biddick,"The Big Data Management Challenge", InformationWeeks, April2012.

[14]https://blogs.oracle.com/bigdata/entry/3_key_problems_to_solve.

[15]https://www.safaribooksonline.com/library/view/big-data-analytics/9780124173194/xhtml/CHP007.html.

[16]http://www.computerweekly.com/opinion/How-to-manage-big-data-and-reap-the-benefits.

[17]Min Chen · Shiwen Mao · Yunhao Liu, "Big Data: A Survey", Springer Science+Business Media New York 2014, 22 January 2014.

[18]Jinchuan CHEN, Yueguo CHEN, Xiaoyong DU, Cuiping LI, Jiaheng LU , Suyun ZHAO, Xuan ZHOU," Big data challenge: a data management perspective", Higher Education Press and Springer-Verlag Berlin Heidelberg 2013.

[19]Hongtaek Ju , Choong Seon Hong, Makoto Takano, Jae-Hyoung Yoo, Kuang-Yao Chang, Kiyohito Yoshihara, Jeu-Yih Jeng," Management in the Big Data & IoT Era: A Report:on APNOMS 2012", Springer Science+Business Media New York 2013, 22 february 2013.

[20]Ohbyung Kwona, Namyeon Leea, Bongsik Shinb proposed, "Data quality management, data usage experience and acquisitionintention of big data analytics", International Journal of Information Management 34 (2014), 13 march, 2014.