Future of Information and Communication Conference (FICC) 2024
4-5 April 2024
Publication Links
IJACSA
Special Issues
Future of Information and Communication Conference (FICC)
Computing Conference
Intelligent Systems Conference (IntelliSys)
Future Technologies Conference (FTC)
International Journal of Advanced Computer Science and Applications(IJACSA), Volume 12 Issue 11, 2021.
Abstract: In today’s modern world, we’re experiencing a substantial increase in the use of data in various fields, and this has necessitated the use of distributed systems to consume and process Big Data. Machine learning tends to benefit from the usage of Big Data, and the models generated from such techniques tend to be more effective. However, there is a steep learning curve to getting used to handling Big Data, as traditional data management tools fail to perform well. Distributed systems have become popular, where the task of data processing is split amongst various nodes in clusters. SQL, is a popular database management language popular to data scientists. It is often given second class support, where SQL can be embedded into a primary language of use (e.g. SQL in Scala for Spark), which allows for using SQL but one still needs to know the primary language of the platform (Scala, as per the example, or ECL in HPCC Systems). It may also be present as a supported language. In either case, using useful tooling such as Visualizing data and creating and using machine learning models become difficult, as the user needs to fall back to the primary language of the system. In the proposed work, a new SQL-like language, HSQL, an open source distributed systems solution, was developed for allowing new users to get used to its distributed architecture and the ECL language, with which it primarily operates with (which was chosen as a target). Additionally, a program that could translate HSQL-based programs to ECL for use was made. HSQL was made to be completely inter-compatible with ECL programs, and it was able to provide a compact and easy to comprehend SQL-like syntax for performing general data analysis, creation of Machine learning models and visualizations while allowing a modular structure to such programs.
Anurag Singh Bhadauria, Atreya Bain, Jyoti Shetty, Shobha G, Arjuna Chala and Jeremy Clements, “Design and Implementation of HSQL: A SQL-like language for Data Analysis in Distributed Systems” International Journal of Advanced Computer Science and Applications(IJACSA), 12(11), 2021. http://dx.doi.org/10.14569/IJACSA.2021.0121190
@article{Bhadauria2021,
title = {Design and Implementation of HSQL: A SQL-like language for Data Analysis in Distributed Systems},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2021.0121190},
url = {http://dx.doi.org/10.14569/IJACSA.2021.0121190},
year = {2021},
publisher = {The Science and Information Organization},
volume = {12},
number = {11},
author = {Anurag Singh Bhadauria and Atreya Bain and Jyoti Shetty and Shobha G and Arjuna Chala and Jeremy Clements}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.