covid-19-data VS AWS-ETL-Covid-Pipeline

The NY-Times github repository says that the data will no longer be updated after March 24, 2023. (https://github.com/nytimes/covid-19-data)

I am trying to do practice problems about 7 day averages according New York Times repository

NYTimes Covid Data

Find blog articles and tutorials. Find sample datasets, like COVID data from NYT or order data from Instacart

Latest Map and Case Count

Covid-19 wasn’t 1% mortality at the start of the pandemic, it was much higher, and today’s daily remains at a .85% mortality rate for today’s US cases only [1] [2]. As for your comparison, it remains today 9 times deadlier than the flu.

New York Times repository updated daily

All data comes from the NYTimes COVID-19 github.

I am looking at state level data in the USA and my dependent variable is a running COVID case tally at the state level (you can find it here: https://github.com/nytimes/covid-19-data/blob/master/us-states.csv).

I decided to tackle all of the compute-job-steps together, as one. I essentially created the ETL Python module first, testing that my code could, in fact, extract and transform public data. Once my Python was working as intended, I could easily set up a Lambda job to run and test this module. I also integrated source control at the beginning; I had to go through several re-writes of my scripts, and GitHub helped me keep track of those changes. Speaking of which, my final code and IaC template can be found here.