Abstract
Real-Time Big Data Analysis systems are those systems that process big data in given deadline or time limit. These types of systems are used to analysis a big data that is using data from some real world environment to analysis, predicate the solution to real-world problem. In this paper, we deal with architecture of this type of system what is basic structure of this type of system and their application in different area. We also categories theses type of in two main categories real-time system and near real-time system.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Venkata Krishna kumar S, Ravishankar KS (2015) A study of real time big data analysis. Int J Innov Res Comput Commun Eng (An ISO 3927 2007 certificate organisation) 3(8). ISSN(Online): 2320-9801
Barlow M (2013) Real time big data analytics: emerging architecture. O`Reilly Media
Meshram AD, Kulkurn AS, Hippargi SS (2016) Big data analystic using real time architecture. IJLTET 6(4). ISSN: 2278-621X
Rathore MM, Ahmad A, Paul A, Daniel A (School of Computer Science and Engineering, Kyungpook National University, Daegu, Korea) Hadoop based real-time big data architecture for remote sensing earth observatory system
Munagapati K, Usha Nandhini D (2015) Real time data analytics. Int J Appl Eng Res 10(3):7209–7214. ISSN 0973-4562
Rajasekar D, Dhanamani C, Sandhya SK (2015) A survey on big data concepts and tools. IJETAE, ISO 9001:2008 Certified Journal 5(2). ISSN 2250-2459
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Sharma, N., Agarwal, M. (2019). Real-Time Big Data Analysis Architecture and Application. In: Mishra, D., Yang, XS., Unal, A. (eds) Data Science and Big Data Analytics. Lecture Notes on Data Engineering and Communications Technologies, vol 16. Springer, Singapore. https://doi.org/10.1007/978-981-10-7641-1_27
Download citation
DOI: https://doi.org/10.1007/978-981-10-7641-1_27
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-7640-4
Online ISBN: 978-981-10-7641-1
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)