@article{10.11648/j.ijdsa.20220804.11,
  author = {Ramamurthy Valavandan and Subhendu Ghosh and Kumaraswamy Reddy and Prasanth Parayatham and Ubaiyadulla Sherif and Vikram Sharma and Pragathi Sri and Vijayachandran Ramachandran and Surasa Mukherjee and Nitin Ambekar and Dinesh Sai Teja Neeli and Vijender Singh and Santosh Baran and Praveen Brian and Hanumantha Raj and Musheer Ahmed and Saurabh Uniyal},
  title = {Google Cloud Services for Collecting, Processing, Analyzing, and Visualizing the Types of COVID-19 Vaccines},
  journal = {International Journal of Data Science and Analysis},
  volume = {8},
  number = {4},
  pages = {94-118},
  doi = {10.11648/j.ijdsa.20220804.11},
  url = {https://doi.org/10.11648/j.ijdsa.20220804.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijdsa.20220804.11},
  abstract = {This study analyzes the types of COVID-19 vaccines used in different countries in Google Cloud native services. Big Query, a Google Cloud data analytics product, is used for data analytics. The python application is developed for data visualization of types of COVID-19 vaccines, and the application deployed in Google Cloud handles the data collection methodology. Google Cloud composer establishes the connection to the World Health Organization portal. Apache Airflow directed acyclic graph (DAG) runs in a Cloud Composer environment and Google Data Studio for data visualization. Google Guild members fully support the Google cloud Nature Labs projects. The motivation behind this project is our recent work on creating the ecosystem in Google Cloud for customers. The discovery, identification of Google service, the workload migration is designed for Google Cloud. The python application parses the types of vaccines of COVID-19 data in JSON format. The big query, a serverless data analytics of Google cloud, performs the classes of vaccines used in different countries. The python application parses the JSON file format and generates the report of the types the COVID-19 vaccines. Python application performs the data visualization in Google cloud, and Google data studio completes the functional requirement of reporting layer. The approach to studying the types of vaccines used in different countries is unique. As always, the data clenching task is a tedious task. Thanks to the research sponsor, SerpAPI provides the Google search results of variance of COVID-19 vaccines and chemical composition of vaccines of companies. The developed solution and the work products are highly reusable, and customers benefit from the outcome of this research assignment in the Google cloud innovation project of Nature Labs. The Google cloud native offers the dynamics for the scientific community on the study of types of vaccines for vaccine manufacturing companies. We conclude that out of thirty vaccine manufacturing companies, the World Health Organization (WHO) disapproves of Wuhan CNBG.},
 year = {2022}
}

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TY  - JOUR
T1  - Google Cloud Services for Collecting, Processing, Analyzing, and Visualizing the Types of COVID-19 Vaccines
AU  - Ramamurthy Valavandan
AU  - Subhendu Ghosh
AU  - Kumaraswamy Reddy
AU  - Prasanth Parayatham
AU  - Ubaiyadulla Sherif
AU  - Vikram Sharma
AU  - Pragathi Sri
AU  - Vijayachandran Ramachandran
AU  - Surasa Mukherjee
AU  - Nitin Ambekar
AU  - Dinesh Sai Teja Neeli
AU  - Vijender Singh
AU  - Santosh Baran
AU  - Praveen Brian
AU  - Hanumantha Raj
AU  - Musheer Ahmed
AU  - Saurabh Uniyal
Y1  - 2022/07/28
PY  - 2022
N1  - https://doi.org/10.11648/j.ijdsa.20220804.11
DO  - 10.11648/j.ijdsa.20220804.11
T2  - International Journal of Data Science and Analysis
JF  - International Journal of Data Science and Analysis
JO  - International Journal of Data Science and Analysis
SP  - 94
EP  - 118
PB  - Science Publishing Group
SN  - 2575-1891
UR  - https://doi.org/10.11648/j.ijdsa.20220804.11
AB  - This study analyzes the types of COVID-19 vaccines used in different countries in Google Cloud native services. Big Query, a Google Cloud data analytics product, is used for data analytics. The python application is developed for data visualization of types of COVID-19 vaccines, and the application deployed in Google Cloud handles the data collection methodology. Google Cloud composer establishes the connection to the World Health Organization portal. Apache Airflow directed acyclic graph (DAG) runs in a Cloud Composer environment and Google Data Studio for data visualization. Google Guild members fully support the Google cloud Nature Labs projects. The motivation behind this project is our recent work on creating the ecosystem in Google Cloud for customers. The discovery, identification of Google service, the workload migration is designed for Google Cloud. The python application parses the types of vaccines of COVID-19 data in JSON format. The big query, a serverless data analytics of Google cloud, performs the classes of vaccines used in different countries. The python application parses the JSON file format and generates the report of the types the COVID-19 vaccines. Python application performs the data visualization in Google cloud, and Google data studio completes the functional requirement of reporting layer. The approach to studying the types of vaccines used in different countries is unique. As always, the data clenching task is a tedious task. Thanks to the research sponsor, SerpAPI provides the Google search results of variance of COVID-19 vaccines and chemical composition of vaccines of companies. The developed solution and the work products are highly reusable, and customers benefit from the outcome of this research assignment in the Google cloud innovation project of Nature Labs. The Google cloud native offers the dynamics for the scientific community on the study of types of vaccines for vaccine manufacturing companies. We conclude that out of thirty vaccine manufacturing companies, the World Health Organization (WHO) disapproves of Wuhan CNBG.
VL  - 8
IS  - 4
ER  - 

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