editorinchief@ijrtmr.com +91 9840521421 Scholarly Open Access, Peer-reviewed, Refereed Journal e-ISSN 2583-0368 Since 2021
  1. Home
  2. Archives
  3. 2022
  4. Vol. 2 Issue 2
  5. Article
Research Article

Enactment assessment of hadoop map reduce and Pig Latin in the Big Data

  • Paper ID 22
  • Volume 2, Issue 2
  • Pages 04-05
  • Published Online: March-April 2022
  • 3 Views
Open Access Peer Reviewed

Authors

  • Lavanya Srinivasan1
  • Ramprakash Pitchai2

12 Dept. of CSE, Nehru Institute of Engineering & Technology, Tamilnadu, India.

Article Information

DOI
No DOI
Published Online
March-April 2022
Pages
04-05
Article Type
Research Article
Check for updates
No DOI available for cross-reference

Abstract

View PDF

Abstract: The colossal proportion of data people in the current circumstance achieving two critical issues one is storage and other is processing of the data. The big data scenarios like online diversion, web crawlers and other applications creating humongous data which need be separately dealt with when differentiated and existing storage and taking care of techniques. The critical point is the way of taking care of the data and dealing with the data. The current discussion keeping an eye on the Hadoop framework internals and the limit of the Hadoop bundle close by the processing of guide lessen and pig Latin items. The main goal is to look at the environment of guide diminish and pig scripts with a strategy for surveying the components like time and space necessities close by the data parts and output parts in a clear manner. Index Terms: Big Data, Map Reduce, Hardtop Pig, un structured.

APC from ₹1200 + 18% GST

Peer-reviewed open access₹1200 Indian (₹1400 with DOI)$80 USD internationalpaid after acceptance Peer-reviewed open access₹1200 Indian$80 USD international ₹1200 Indian · $80 intl

  • CrossRef DOI
  • ISSN 2583-0368
  • Open Access
  • Peer Reviewed
  • Plagiarism Checked
  • Google Scholar
Submit Paper