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Research Paper | Computer Science & Engineering | India | Volume 5 Issue 6, June 2016

NoSQL in Action - A New Pathway to Database

Priya Badlani

Abstract: With the uninterrupted growth, databases are growing very fast and becoming more complex in the Volume, Variety and Velocity and hence management of database has been the biggest challenge. The data collection is currently managed and exploited mostly by using conventional data management tools such Relational Database Management Systems (RDMS), profoundly has its accurate name as SQL or conventional search engines. In the last two decades, the relational databases proved to be powerful and superior because of its highly semantic features and usage. Soon as Big Data stepped into the IT industry, handling large volume of data and variety in data type and structure has lead to a tedious job. To handle such Big Data, relational databases are not suitable because of its strict data constraints, structure, relations and so on. Hence, data aggregation becomes impossible. NoSQL databases provide an efficient and clear framework to aggregate large volumes of data, structures and relations. Now, to stipulate the problem, the modeling and migration of data is required. Currently, there is no tool for the migration of Relational databases to NoSQL databases. This migration requires conversion of relational (sql) database query to NoSQL database query. Relational databases (RDBMS) have struggled to keep up with the wave of modernization, leading to the rise of NoSQL as the most viable database. The aim of this paper is to highlight and evaluate the ways in which NoSQL can be used, Data Modeling concept in NoSQL, migration process in NoSQL database.

Keywords: NoSQL, Roadmap to NoSQL, Data Modeling, Data Migration ETL Approach, Data Loading, Data ExtractionNoSQL, Roadmap to NoSQL, Data Modeling, Data Migration ETL Approach, Data Loading, Data Extraction

Edition: Volume 5 Issue 6, June 2016,

Pages: 872 - 877