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Comparative Analysis for an Optimized Data Driven System

EasyChair Preprint no. 7528

8 pagesDate: March 11, 2022


 While designing huge systems based on data access, storage and retrieval, there a lot of problems faced by developers including ensuring portability, cross platform support, scalable design, secure platforms and reduced latency and redundancy. These problems and need to discussed and tackled in order to increase performance and efficiency for the benefit of the end user. This study makes use of one such data driven problem involving huge quantities of astronomical data to demonstrate the advantages of using umpteen efficient technologies and services in order to achieve significant improvement in results. Further sections compare and analyse the pros and cons of different technologies and protocols in use in order to derive fruitful conclusions.

Keyphrases: Django, Flask, JSON, Laravel, MySQL, Retrofit, SOAP, Volley, Web Services, XML

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Chinmay Pophale and Ankit Dani and Aditya Gutte and Brijesh Choudhary and Vandana Jagtap},
  title = {Comparative Analysis for an Optimized Data Driven System},
  howpublished = {EasyChair Preprint no. 7528},

  year = {EasyChair, 2022}}
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