Abstract:
With the current emphasis on huge data storing, NoSQL database have surged in
popularity. Big data is used for massive data sets having large and complex structure
with difficulties of storing, analyzing and visualizing for further results. These
databases are claimed to perform better than SQL databases. The primary purpose
of this project is to independently investigate the performance of some NoSQL and
SQL-based approach. We used maximum, minimum and average operations on keyvalue
stores implemented by NoSQL and SQL databases. In these project we used
synthetically generated temperature data for experimental purpose.
Description:
This thesis submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering of East West University, Dhaka, Bangladesh
