Review Paper on Big Data Analytics in Cloud Computing

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2017 by IJCTT Journal
Volume-49 Number-3
Year of Publication : 2017
Authors : Saneh Lata Yadav, Asha Sohal

MLA

Saneh Lata Yadav, Asha Sohal "Review Paper on Big Data Analytics in Cloud Computing". International Journal of Computer Trends and Technology (IJCTT) V49(3):156-160, July 2017. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
Cloud computing is a most powerful technology which performs massive-scale and complex computing. It eliminates the requirement to maintain costly computing hardware, dedicated space requirement and related software. Massive growth in the scale of data or big data generated through cloud computing has been identified. Concept of big data is a challenging and time-demanding task that requires a large computational space to ensure successful data processing and analysis. This paper includes definition, characteristics, and classification of big data along with some discussions on cloud computing are introduced. The similarities between big data and cloud computing, big data storage systems, several big data processing techniques and Hadoop technology are also discussed. The term ‘Big Data’ defines innovative techniques and technologies to capture, store, distribute, manage and analyze petabyte-or larger-sized datasets with high-velocity and different structures. Big data may be structured, unstructured or semi-structured, resulting in incapability of conventional data management methods. Data can be generated from various relevant sources and can store in the system at various rates. In order to analyze these large amounts of data in an inexpensive and efficient way, parallelism technique is used. 2015 was the year that Big Data went from being something that a majority of organizations were either doing or at the very least actively considering. The growth of cloud-based Big Data services has made Big Data analytics a feasible reality for organizations of all sizes.

References
[1] A. Abouzeid, K. B. Pawlikowski, D. J. Abadi, A. Rasin, and A. Silberschatz. HadoopDB: An Architectural Hybrid of MapReduce and DBMS Technologies for Analytical Workloads. PVLDB,2(1):922–933, 2015.
[2] A. Thusoo, J. S. Sarma, N. Jain, Z. Shao, P. Chakka, S. Anthony,H. Liu, P. Wyckoff, and R. Murthy. Hive - A Warehousing Solution Over a Map-Reduce Framework. PVLDB, 2(2):1626–1629, 2009.
[3] A, Katal, Wazid M, and Goudar R.H. "Big data: Issues, challenges, tools and Good practices.". Noida: 2013, pp. 404 – 409, 8-10 Aug. 2013.
[4] K, Chitharanjan, and Kala Karun A. "A review on hadoop, HDFS infrastructure extensions.". JeJu Island: 2013, pp. 132-137, 11-12 Apr. 2013.
[5] Wie, Jiang , Ravi V.T, and Agrawal G. "A Map-Reduce System with an Alternate API for Multi-core Environments.". Melbourne, VIC: 2010, pp. 84-93, 17-20 May. 2010.
[6] F.C.P, Muhtaroglu, Demir S, Obali M, and Girgin C. "Busines on big dataapplications." Big Data, 2013 IEEE International Conference, Silicon Valley, CA, Oct 6-9, 2013, pp.32 – 37.
[7] Xu-bin, LI , JIANG Wen-rui, JIANG Yi, ZOU Quan "Hadoop Applications in Bioinformatics." Open Cirrus Summit (OCS), 2012 Seventh, Beijing, Jun 19-20, 2012, pp. 48 – 52.
[8] Venkata Narasimha Inukollu , Sailaja Arsi and Srinivasa Rao Ravuri “Security issues associated with big data in cloud computing “International Journal of Network Security & Its Applications (IJNSA), Vol.6, No.3, May 2014.
[9] Elragal, A. (2014). ERP and Big Data: The Inept Couple. Procedia Technology, 16, 242-249.
[10] S.Vikram Phaneendra & E.Madhusudhan Reddy “Big Data- solutions for RDBMS problems- A survey” In 12th IEEE/IFIP Network Operations & Management Symposium (NOMS 2010) (Osaka, Japan, Apr 19{23 2013).
[11] Kiran kumara Reddi & Dnvsl Indira “Different Technique to Transfer Big Data : survey” IEEE Transactions on 52(8) (Aug.2013) 2348 { 2355}
[12]Umasri.M.L,Shyamalagowri.D,SureshKumar.S“Mining Big Data:- Current status and forecast to the future” Volume 4, Issue 1, January 2014 ISSN: 2277 128X.
[13] Albert Bifet,“Mining Big Data in Real Time”, informatica, 2013.
[14] James Manyika, Michael Chui, Brad Brown, Jacques Bhuhin, Richard Dobbs, Charles Roxburgh, Angela Hungh Byers, “Big Data: The next frontier for innovation, competition and productivity”, June 2011.
[15] Sameera Siddiqui, Deepa Gupta,” Big Data Process and Analytics : A Survey”, International Journal Of Emerging Research in Management & Technology, ISSN: 2278-9359, Volume 3, Issue 7, July 2014.
[16] M.Cooper, P.Mell(2012). Tackling big Data(Online).Http://csrc.nist.gov/groups/SMA/Forum/document/June 2012Presentation/f%CSM_june2012_cooper_Neul.pdf.
[17] Han Hu, YongyangNen, Tat Seng Chua, Xuelong Li,” Towards Scalable System for Big Data Analytics: A Technology Tutorial”, IEEE Access, Volume 2, Page No 653, June 2014.
[18] J.Gantz, D. Reinset,” The Digital Universe in 2020: Big Data, Bigger digital shadow, and biggest growth in the far east”, in Proc : IDC iview, IDC Anal, Future, 2012.
[19] www.ebizmba .com/articles/social-networking-websites.
[20] Neil Raden,”Big Data Analytics Architecture”, Hired Brains Inc, 2012.
[21] James Manyika, Michael Chui, Brad Brown, Jacques Bhuhin, Richard Dobbs, Charles Roxburgh, Angela Hungh Byers, “Big Data: The next frontier for innovation, competition and productivity”, June 2011.
[22]Wei Fan, Albert Bifet, “Mining Big Data: Current Status and Forecast to the Future”, SIGKDD Explorations, Volume 14, Issue 2.
[23] Albert Bifet“Mining Big Data In Real Time” Informatics 37 (2013) 15–20 DEC 2012.
[24] Bernice Purcell “The emergence of “big data” technology and analytics” Journal of Technology Research 2013.
[25] Ritu Katara, Hareram Shah “A Novel Integrated Approach for Big Data Mining”, International Journal For Computer treands and Technology, Volume 18, Number 5, Dec 2014.
[26] M. Saranya, A. Prema “Survey on Big Data Analytics Using Hadoop ETL”, International Journal For Computer treands and Technology, Volume 48, Number 5, June 2017.
[27] V. Harsha Shastri,, V. sreeprada, T. Kavitha “A Survey on Big Data Technologies, Challenges and Impact on Internet of things”, International Journal For Computer treands and Technology, Volume 35, Number 3, May 2016.
[28] Fayaz Ahmad Lone, dr. Amit Kumar Chaturvedi “Proposing a Novel Model on Security Challenges in Cloud Computing especially Social Media and social Sites”, International Journal For Computer treands and Technology, Volume 47, Number 1, May 2017.

Keywords
Big Data, Big Data Analytics, Map Reduce, Hadoop.