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
Similar Articles with Keyword 'BigData'
Downloads: 102
Research Paper, Computer Science & Engineering, India, Volume 4 Issue 7, July 2015
Pages: 2599 - 2602Variable Size Bin Packing Algorithm for IoT
Kshitija Kalaskar
Downloads: 105
Informative Article, Computer Science & Engineering, India, Volume 5 Issue 11, November 2016
Pages: 1482 - 1485Overview of Big Data
Nivedita Manohar