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Survey Paper | Computer Science & Engineering | India | Volume 4 Issue 5, May 2015 | Rating: 6.2 / 10
Challenges for HDFS to Read and Write Using Different Technologies
Sunil Kumar S, 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