학술논문

Big Data Analytics – Future Trend
Document Type
Conference
Source
2023 International Conference on New Frontiers in Communication, Automation, Management and Security (ICCAMS) New Frontiers in Communication, Automation, Management and Security (ICCAMS), 2023 International Conference on. 1:1-3 Oct, 2023
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
Engineering Profession
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Industries
Systematics
Machine learning algorithms
Heuristic algorithms
Government
Machine learning
Big Data
Optimal Choice
Security Threats
Traditional techniques
Language
Abstract
In recent days most of the researcher and experts are defining the big data as per their understanding as a result there is no particular definition available for the Big data in general. Today hot area of research is big data analytics and due to that so many researchers have published their study in the area of Big Data. Major criteria in in solving the query in Big data is speed to make it optimal choice the engineers can make use of indexing. Parallelization is the best way to deal with the solutions in big data effectively and by using the good algorithmic solutions. Online Big Data Applications are utilized by the system of government to reduce the cost. All these techniques are making good profit to the organizations but at the same time it creates lot of security threats for the organizations. Industry is worried about the security issues with reference to big data. The main problem is related to the data mining and the information should not be exposed with the third party other than the users. New challenges are there for the researcher as the data is dynamic in nature and it drastically changed each and every point of time. Data is not easy to process with the traditional techniques for that latest technique and algorithms need to be utilized for the big data analytics.