An Approach to Implement MapReduce and Aggregation Pipeline Utilizing NoSql Technologies

Abstract

The technology has been changed in the last decade. Therefore, we desired efficiently techniques which help real-time analysis over huge data. NoSQL picked up the fame in the mid-twenty-first century due to the development of distributed computing, issues of administrations which require the utilization of Web and information serious administrations. Not only SQL (NoSQL) innovation incorporates a wide range of databases advances that were created in light of capacity of substantial volume of client information. We instantiate this framework MongoDB which is suitable for real-time data due to aggregation frameworks, query performance and distributed architecture, which resulting a variety of non-relational databases, such as JSON document databases. In mobile apps, database features can be distinctly analyzed for the client and the server layers. The real-time large-scale data analysis process is important for real-time applications, taking care of high access recurrence, execution of framework and handling of the information. RDBMS has an organized type of information that are utilized in numerous applications for quite a while, the information is put away in relations and it is put away in a significant manner, however, at this point, there is have to store and deal with a lot of information which cannot be taken care of by customary RDBMS. NoSQL innovation is an answer for defeated this component of the RDBMS by giving a proficient method for putting away and overseeing different kinds of information with a gigantic measure of dataset. In this paper, execution investigation is done on archive arranged databases: MongoDB. The record situated database is a class of the NoSQL databases where the information is put away in JSON like documents.