Managing Big Data: A Step towards Huge Data Security
Author(s) -
Pankaj Deep Kaur,
Awal Adesh Monga
Publication year - 2016
Publication title -
international journal of wireless and microwave technologies
Language(s) - English
Resource type - Journals
eISSN - 2076-9539
pISSN - 2076-1449
DOI - 10.5815/ijwmt.2016.02.02
Subject(s) - big data , data governance , variety (cybernetics) , data management , key (lock) , data science , computer science , corporate governance , process (computing) , data quality , process management , knowledge management , business , computer security , data mining , marketing , artificial intelligence , metric (unit) , finance , operating system
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.
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