Challenges for HDFS to Read and Write Using Different Technologies
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
How to Cite?: Sunil Kumar S, Sanjeev G Kanabargi, "Challenges for HDFS to Read and Write Using Different Technologies", Volume 4 Issue 5, May 2015, International Journal of Science and Research (IJSR), Pages: 2837-2842, https://www.ijsr.net/getabstract.php?paperid=SUB154956, DOI: https://dx.doi.org/10.21275/SUB154956