Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Blockchain Integrated Secured Scenarios in Advanced Wireless Networks Read chapter Read first chapter

2021 | OriginalPaper | Chapter

Big Data Analytics—Analysis and Comparison of Various Tools

Authors : Amit Gupta, Bhanu Prakash Dubey, Himani Sivaraman, M. C. Lohani

Published in: Advances in Information Communication Technology and Computing

Publisher: Springer Singapore

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Big data is the latest terminology in the computer world. The data collection is increasing day by day, and many technological changes can bring some new methods for decision-making process in many areas such as health and finance. As the complexities are increasing due to volume, veracity, variety and velocity, our focus is on the methods to calculate the value of data using various big data analytics technologies. The analytics process used with respect to big data can be improvised by using new algorithms, which enhance the analytical aspects and can be used to extract the hidden knowledge very efficiently and effectively.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Nipah Virus Using Restricted Boltzmann Machine
next chapter Copy-Move Forgery Detection Methods: A Critique
Literature
1.
Demchenko Y, Grosso P, de Laat C, Membrey P. Addressing big data issues in scientific data infrastructure. In: 2013 international conference on collaboration technologies and systems (CTS), San Diego, 2013. IEEE, pp 48–55
2.
Cox M, Ellsworth D. Managing big data for scientific visualization. In: ACM Siggraph ’97 course #4 exploring giga-byte datasets in real-time: algorithms, data management, and time-critical design, August, 1997
3.
Bekkerman R, Bilenko M, Langford J (2011) Scaling up machine learning: parallel and distributed approaches. Cambridge University Press, CambridgeCrossRef
4.
Ni Z Comparative evaluation of spark and stratosphere. Thesis, KTH Royal Institute of Technology; 2013
5.
Bu Y, Howe B, Balazinska M, Ernst MD (2010) HaLoop: efficient Iterative data processing on large clusters. Proceedings VLDB Endowment 3(1):285–296CrossRef
6.
Jakovits P, Srirama SN (2014) Evaluating MapReduce frameworks for iterative scientific computing applications. In: 2014 International conference on high performance computing & simulation; 2014. pp 226–33
7.
Vavilapalli VK, Murthy AC, Douglas C, Agarwal S, Konar M, Evans R, Graves T, Lowe J, Shah H, Seth S, Saha B, Curino C, O’Malley O, Radia S, Reed B, Baldeschwieler E. Apache Hadoop YARN: yet another resource negotiator. In: Proceedings of the 4th annual symposium on cloud computing; 2013
8.
Fernández A, del Río S, López V, Bawakid A, del Jesus MJ, Benítez JM, Herrera F (2014) Big data with cloud computing: an insight on the computing environment, MapReduce, and programming frameworks. Wiley Interdiscip Rev Data Min Knowl Discov. 4(5):380–409CrossRef
9.
Lin J, Kolcz A. Large-scale machine learning at twitter. In: Proceedings of the 2012 ACM SIGMOD international conference on management of data; 2012. pp 793–804
10.
Dean J, Ghemawat S. MapReduce: Simplified Data Processing on Large Clusters. In: Proceedings of the 6th symposium on operating systems design and implementation; 2004
11.
Malewicz G, Austern MH, Bik AJC, Dehnert JC, Horn I, Leiser N, and Czajkowski G (2010) Pregel: A system for large-scale graph processing. In: Proceedings of the 2010 ACM SIGMOD international conference on management of data; 2010. pp 135–45
12.
13.
Zaharia M, Chowdhury M, Das T, Dave A (2012) Fast and interactive analytics over Hadoop data with Spark. USENIX Login 37(4):45–51
14.
White T (2012) Hadoop: the definitive guide, 3rd edn. O’Reilly Media, Inc., Sebastopol, CA
15.
Zaharia M, Chowdhury M, Franklin MJ, Shenker S, Stoica I. Spark (2010) Cluster Computing with Working Sets. In: Proceedings of the 2nd USENIX conference on hot topics in cloud computing
16.
Cai Z, Gao J, Luo S, Perez LL, Vagena Z, Jermaine C. A comparison of platforms for implementing and running very large scale machine learning algorithms. In: Proceedings of the 2014 ACM SIGMOD international conference on management of data (SIGMOD’14) 2014, pp 1371–1382
17.
Zhang H, Tudor BM, Chen G, Ooi BC (2014) Efficient in-memory data management: an analysis. Proc VLDB Endowment 7(10):6–9
18.
Singh J (2014) Big data analytic and mining with machine learning algorithm. Int J Inform Comput Technol 4(1):33–40
19.
Ousterhout K, Rasti R, Ratnasamy S, Shenker S, Chun B (2015) Making sense of performance in data analytics frameworks. In: Proceedings of the 12th USENIX symposium. On networked systems design and implementation (NSDI 15)
20.
Shahrivari S, Jalili S (2014) Beyond batch processing : towards real-time and streaming big data. Computers 3(4):117–129CrossRef
Metadata
Title
Big Data Analytics—Analysis and Comparison of Various Tools
Authors
Amit Gupta
Bhanu Prakash Dubey
Himani Sivaraman
M. C. Lohani
Copyright Year
2021
Publisher
Springer Singapore
Book
Advances in Information Communication Technology and Computing

Print ISBN: 978-981-15-5420-9

Electronic ISBN: 978-981-15-5421-6

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-981-15-5421-6_48