International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 107

Survey Paper | Computer Science & Engineering | India | Volume 4 Issue 5, May 2015


Challenges for HDFS to Read and Write Using Different Technologies

Sunil Kumar S [8] | Sanjeev G Kanabargi


Abstract: Advancement in information and technology gives us ability to store a huge amount of data. In other terms we have huge bandwidth to store and analyze huge data which can be also termed as Big-Data. There are many tools and framework that can be used to manage and analyze the Big-data and Hadoop is one the most used frame work to analyze and manage Big-data. Hadoop uses HDFS to store and manage the Big-data and we can use different tools to read and write into HDFS. This paper compares different technologies that can be used to read and write into HDFS.


Keywords: Big-Data, Hadoop, HDFS, YARN


Edition: Volume 4 Issue 5, May 2015,


Pages: 2837 - 2842


How to Download this Article?

You Need to Register Your Email Address Before You Can Download the Article PDF


How to Cite this Article?

Sunil Kumar S, Sanjeev G Kanabargi, "Challenges for HDFS to Read and Write Using Different Technologies", International Journal of Science and Research (IJSR), Volume 4 Issue 5, May 2015, pp. 2837-2842, https://www.ijsr.net/get_abstract.php?paper_id=SUB154956

Similar Articles with Keyword 'BigData'

Downloads: 102

Research Paper, Computer Science & Engineering, India, Volume 4 Issue 7, July 2015

Pages: 2599 - 2602

Variable Size Bin Packing Algorithm for IoT

Kshitija Kalaskar

Share this Article

Downloads: 105

Informative Article, Computer Science & Engineering, India, Volume 5 Issue 11, November 2016

Pages: 1482 - 1485

Overview of Big Data

Nivedita Manohar

Share this Article
Top