Affiliations Lead I, UST Global, Bengaluru, Karnataka 560066, India,
In this latest era of computer’s, a enormous amount of data is available to managerial. Big data doesn’t only refer to datasets that are big, but also high in volume, velocity, value, veracity and variety, which is tough to handle using old-fashioned tools and methods. Due to rapid growth of such data, some ways are necessary to found to get important knowledge and values from these data sets. Also, decision makers need to gain some valuable vision from such big and endlessly changing data, ranging from daily transactions to customer connections and data of social network. Such vision can be given using Big Data Analytics, which is the application of Advanced Analytics Technique on big data. This paper aims to literature of some of the analytics methods and tools which can be applied to big data, as well as the charge provided by the applications of big data analytics in different decision domain. We have discussed the different processing techniques for big data and processing steps as well.
Mallikarjuna Reddy Beram."Literature survey on Big Data Analytics". International Journal of Computer Engineering In Research Trends (IJCERT) ,ISSN:2349-7084 ,Vol.5, Issue 8,pp.1-5, August - 2018,
Keywords : Big Data Analytics, Advanced Analytics, Transactions Data, Data processing.
 M.H.Padgavankar, Dr.S.R.Gupta, Big Data Storage and Challenges, M.H.Padgavankar, (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 5 (2) , 2014, 2218-2223.
. Sabia, Sheetal Kalra, Applications of big Data: Current Status and Future Scope, International Journal on Advanced Computer Theory and Engineering (IJACTE), , Volume -3, Issue -5, 2014, ISSN 2319-2526.
 Apache Hadoop. What Is Apache Hadoop?, 2014. http://hadoop.apache.org/, accessed April 2014.
 H S. Bhosale1, Prof. D. P. Gadekar2, A Review Paper on Big Data and Hadoop, International Journal ofScientific and Research Publications, 4(10),2014.
 C.Jin, R.Liu, Z.Chen, Alok Choudhary, A Scalable Hierarchical Clustering Algorithm Using Spark, IEEE,
 Christos Doulkeridis, Kjetil , A Survey of Large-Scale Analytical Query Processing in MapReduce, TheVLDB Journal manuscript No.5.
. Lekha R.Nair, DR. Sujala,D.Shetty, streaming Twitter Data Analysis Using Spark For Effective Job Search, Journal of Theoretical and Applied Information Technology ,. Vol.80. No. 2 2005 – 2015.
 Satish Gopalani,Rohan Arora, Comparing Apache Spark and Map Reduce with Performance Analysis using K-Means, International Journal of Computer Applications Volume 113 – No. 1, March 2015. (0975 –8887)
 D. Rajasekar, C. Dhanamani, S. K. Sandhya, A Survey on Big Data Concepts and Tools
 Suresh Lakavath, Ramlal Naik L, A Big Data Hadoop Architecture for Online Analysis, International Journal of Computer Science and Information Technology & Security (IJCSITS), Vol. 4, No.6, December 2014, ISSN: 2249-9555.
 M. Dhavapriya, N. Yasodha, Big Data Analytics: Challenges and Solutions Using Hadoop, Map Reduce and Big Table, International Journal of Computer Science Trends and Technology (IJCST) – Volume 4 Issue 1, Jan - Feb 2016
 H.HU1, Y. WEN 2 , TAT-SENG CHUA1, AND XUELONG LI 3, Toward Scalable Systems for Big Data Analytics, A Technology Tutorial, IEEE, 2 ,655-687, 2014.
 Ambika P R, Dr. K.N. Narasimha Murthy, Sowmya Naik PT, Aparna J S, Big Data: Towards Next Generation Analytics, International Journal of Innovative Research in Computer and Communication Engineering. Vol.3, Special Issue 5, May 2015.50 | P a g e
. Zaharia, M. Chowdhury, T. Das, A. Dave, J. Ma, M. McCauley, M. Franklin, S. Shenker, and I. Stoica. Resilient distributed datasets: A fault-tolerant abstraction for in-memory cluster computing. Technical Report UCB/EECS-2011-82, EECS Department, University of California, Berkeley, 2011
 Reynold Xin, Joshua Rosen, Matei, Zaharia, Michael J. Franklin, Scott Shenker, Ion Stoica. Shark: SQL and Rich Analytics at Scale. SIGMOD 2013. June 2013.
Authors are not required to pay any article-processing charges (APC) for their article to be published open access in Journal IJCERT. No charge is involved in any stage of the publication process, from administrating peer review to copy editing and hosting the final article on dedicated servers. This is free for all authors.
News & Events
Latest issue :Volume 10 Issue 1 Articles In press
☞ INVITING SUBMISSIONS FOR THE NEXT ISSUE :
☞ LAST DATE OF SUBMISSION : 31st March 2023
☞ SUBMISSION TO FIRST DECISION : In 7 Days
☞ FINAL DECISION : IN 3 WEEKS FROM THE DAY OF SUBMISSION
All the authors, conference coordinators, conveners, and guest editors kindly check their articles' originality before submitting them to IJCERT. If any material is found to be duplicate submission or sent to other journals when the content is in the process with IJCERT, fabricated data, cut and paste (plagiarized), at any stage of processing of material, IJCERT is bound to take the following actions.
1. Rejection of the article.
2. The author will be blocked for future communication with IJCERT if duplicate articles are submitted.
3. A letter regarding this will be posted to the Principal/Director of the Institution where the study was conducted.
4. A List of blacklisted authors will be shared among the Chief Editors of other prestigious Journals
We have been screening articles for plagiarism with a world-renowned tool: Turnitin However, it is only rejected if found plagiarized. This more stern action is being taken because of the illegal behavior of a handful of authors who have been involved in ethical misconduct. The Screening and making a decision on such articles costs colossal time and resources for the journal. It directly delays the process of genuine materials.