Migrate and Map: A Framework to Access Data from Mysql, Mongodb or Hbase Using Mysql Queries
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2016, Vol 18, Issue 3
Abstract
Abstract: Due to ever-increasing amount of data, scalability factor of the databases becomes a major constraint. Moreover, traditional relational databases fix the user’s perspective to view data in tabular format. Parallel databases emerged to be one of the solutions to tackle the scalability constraint which was laterreplaced by more scalable and efficient solution called NoSQL databases. By using the advantages of NoSQL we proposed a framework to migrate data from MySQL to NoSQL databases that is HBase and MongoDB. The framework will be used to map the MySQL query to HBase and MongoDB query format and fetch the datafaster by introducing a decision maker that selects the database from which data can be fetched at a relatively faster rate, thus elevating the system performance.
Authors and Affiliations
Piyush Nikam , Tushar Patil , Gayatri Hungund , Ankit Pagar , Aditi Talegaonkar , Ms. Soudamini Pawar
Keywords
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