Processing Cassandra or Mongodb dataset with Hadoop-Streaming Based Approaches

  Gopal R. Chandangole,  Shweta A. Joshi

Now a days Bulk of data generating on the system. and today’s user accessing, searching and sorting the data from database is very difficult. To overcome this problem, data is distributed in different node using Hadoop technology. A system is proposed in which the collected data is to be distributed using map reduce technique for sorting the data is very easily on Hadoop environment. In this case used Cassandra and mongodb tools to storing large amount of data on Hadoop Framework. NoSQL data is stores in unstructured data format which is a key focus area for “Big Data” research. The Hadoop Framework used to large amount of data on a different nodes in a cluster data. NoSQL databases due to structure and unstructured data of high scalability for getting high performance of system. A Cassandra is to provide the platform for the fast and efficient data queries. and the mongodb is storing large amount of data and connected between different node with the Hadoop MapReduce engine.

Keywords- Index Terms Hadoop Streaming, Cassandra, Mongodb,MapReduce.

Unique Identification Number - IJEDR1603005
Page Number(s) - 27-31
Pubished in - Volume 4 | Issue 3 | July 2016
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Gopal R. Chandangole,  Shweta A. Joshi,   "Processing Cassandra or Mongodb dataset with Hadoop-Streaming Based Approaches", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.4, Issue 3, pp.27-31, July 2016, Available at :http://www.ijedr.org/papers/IJEDR1603005.pdf