Deliberation on Big Data
Volume
4, Issue 6
Pages:
1481-1487
Year of Publication:
December,2016
International Journal of Computer Science and Engineering Communications
ISSN:
2347-8586
| Citation: Reneesh TR, S.Thilagavathi and Kavitha.K."Deliberation on Big Data " International Journal of Computer Science and Engineering Communications,Vol.4,Issue.6(2016):1481-1487.
BibTex
@article{2016RTR14811487, author = {Reneesh,TR.S,Thilagavathi.Kavitha,K}, title = {Deliberation on Big Data }, journal = {International Journal of Computer Science and Engineering Communications}, issue_date = {25}, volume = {4}, number = {6}, month = {Dec}, year = {2016}, issn = {2347-8586}, pages = {1481-1487}, numpages = {7}, url = {http://www.scientistlink.com/ijcsec/2016/V4I614811487.html}, publisher = {Scientist Link Group of Publications}, address = {Chennai, India} } |
| DOI: | Full Text Download |
Abstract:
Big data isn’t just a technology it’s a business strategy for capitalizing on information resources. Big Data is data whose scale, diversity, and complexity require new architecture, techniques, algorithms, and analytics to manage it and extract value and hidden knowledge from it.“A massive volume of both structured and unstructured data that is so large that it's difficult to process with traditional database and software techniques.” Big Data has become a valuable resource and mechanism for the practitioners and researchers to explore the value of data sets in all kinds of business scenarios and scientific investigations. New computing platforms such as cloud computing, mobile Internet, social network are driving the innovations of big data. From industry perspective, IBM, SAP, Oracle, Google, Microsoft, Yahoo, and other leading software and internet service companies have also launched their own innovation initiatives around big data.
Keywords:OLTP,OLAP,HDFS,RTAP
Big data isn’t just a technology it’s a business strategy for capitalizing on information resources. Big Data is data whose scale, diversity, and complexity require new architecture, techniques, algorithms, and analytics to manage it and extract value and hidden knowledge from it.“A massive volume of both structured and unstructured data that is so large that it's difficult to process with traditional database and software techniques.” Big Data has become a valuable resource and mechanism for the practitioners and researchers to explore the value of data sets in all kinds of business scenarios and scientific investigations. New computing platforms such as cloud computing, mobile Internet, social network are driving the innovations of big data. From industry perspective, IBM, SAP, Oracle, Google, Microsoft, Yahoo, and other leading software and internet service companies have also launched their own innovation initiatives around big data.
Keywords:OLTP,OLAP,HDFS,RTAP
References:
- Dr. Ajay Rana, Sangeeta Bansal, Transitioning from Relational Databases to Big Data . Volume 4, Issue 1, January 2014
- Sam Madden From Databases to Big Data – Article published in IEEE Internet Computing magazine
- Kapil Bakshi Considerations for Big Data: Architecture and Approach – Paper published in IEEE
- Sachidanand Singh Big Data Analytics – Paper published in 2012 International Conference on Communication Information & Computing Technology (ICCICT), Oct. 19-20, Mumbai, India
- Introduction to Big Data: Infrastructure and Networking”, White Paper Juniper Networks 2012.
- “Big Data A New World of Opportunities”,NESSI White Paper, December 2012
- Sabia, and Sheetal Kalra Applications of big Data: Current Status and Future Scope
- http://hadoop.apache.org/