Use of Traditional Database Methodology for a Vaccine Passports Database and Scaling it for Real World Application

There are many ways to store data in the modern-day including blob storage such as Amazon web service's S3 or Microsoft Azure's Blob Storage, NoSQL database such as columnar, wide column, object orientated, key-value databases and relational databases. When it comes to maintaining relation...

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Bibliographic Details
Published in2022 7th International Conference on Big Data Analytics (ICBDA) pp. 16 - 24
Main Authors Baggs, Jacob, Ahmed, Emdad
Format Conference Proceeding
LanguageEnglish
Published IEEE 04.03.2022
Subjects
API
Big Data
COVID-19
Industries
MySQL
NoSQL databases
Pandemics
Python
Relational databases
Vaccines
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DOI10.1109/ICBDA55095.2022.9760370

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Summary:There are many ways to store data in the modern-day including blob storage such as Amazon web service's S3 or Microsoft Azure's Blob Storage, NoSQL database such as columnar, wide column, object orientated, key-value databases and relational databases. When it comes to maintaining relationship-based data, SQL has been the industry standard for decades. In current times COVID-19 has plagued the world as one of the world's fastest growing pandemics. To fight against the spread, vaccines have been administered to millions of individuals. All this information about vaccine administration has to be stored and potentially made available as a "vaccine passport". We propose to use a full stack solution of MySQL, a relational database, and Python to implement a proof-of-concept solution to store, create, update, and maintain information records about the shots administered and who the shots were administered to as a vaccine passport.
DOI:10.1109/ICBDA55095.2022.9760370