Uploaded November 2024 | Updated September 2026, 6 days ago
Finding data sets that mimic real life data sets for a data engineering project is hard.
But there are several synthetic healthcare data sets that look almost exactly(or at least have all the right data) as the real deal.
That includes the synthetic claims data created by CMS.
In this project we'll be taking a look at this data and just starting to extract it. But there really are so many ways we can take this project.
Docker Gist
gist.github.com/sdg-1/bc4ae0cfb2e2263c92c3efb2f0b1f624
Airflow Gist
gist.github.com/sdg-1/a409fbe20b2848ff92cf2ceaa0fa392a
I should probably start putting this all in one project
If you'd like to read up on my updates about the data field, then you can sign up for our newsletter here.
seattledataguy.substack.com/
Or check out my blog
theseattledataguy.com
And if you want to support the channel, then you can become a paid member of my newsletter
seattledataguy.substack.com/subscribe
Tags: Data engineering projects, Data engineer project ideas, data project sources, data analytics project sources, data project portfolio
_____________________________________________________________
Subscribe: youtube.com/channel/UCmLGJ3VYBcfRaWbP6JLJcpA?sub_confirmation=1
_____________________________________________________________
About me:
I have spent my career focused on all forms of data. I have focused on developing algorithms to detect fraud, reduce patient readmission and redesign insurance provider policy to help reduce the overall cost of healthcare. I have also helped develop analytics for marketing and IT operations in order to optimize limited resources such as employees and budget. I privately consult on data science and engineering problems both solo as well as with a company called Acheron Analytics. I have experience both working hands-on with technical problems as well as helping leadership teams develop strategies to maximize their data.
*I do participate in affiliate programs, if a link has an "*" by it, then I may receive a small portion of the proceeds at no extra cost to you.
Finding data sets that mimic real life data sets for a data engineering project is hard.
But there are several synthetic healthcare data sets that look almost exactly(or at least have all the right data) as the real deal.
That includes the synthetic claims data created by CMS.
In this project we'll be taking a look at this data and just starting to extract it. But there really are so many ways we can take this project.
Docker Gist
gist.github.com/sdg-1/bc4ae0cfb2e2263c92c3efb2f0b1f624
Airflow Gist
gist.github.com/sdg-1/a409fbe20b2848ff92cf2ceaa0fa392a
I should probably start putting this all in one project
If you'd like to read up on my updates about the data field, then you can sign up for our newsletter here.
seattledataguy.substack.com/
Or check out my blog
theseattledataguy.com
And if you want to support the channel, then you can become a paid member of my newsletter
seattledataguy.substack.com/subscribe
Tags: Data engineering projects, Data engineer project ideas, data project sources, data analytics project sources, data project portfolio
_____________________________________________________________
Subscribe: youtube.com/channel/UCmLGJ3VYBcfRaWbP6JLJcpA?sub_confirmation=1
_____________________________________________________________
About me:
I have spent my career focused on all forms of data. I have focused on developing algorithms to detect fraud, reduce patient readmission and redesign insurance provider policy to help reduce the overall cost of healthcare. I have also helped develop analytics for marketing and IT operations in order to optimize limited resources such as employees and budget. I privately consult on data science and engineering problems both solo as well as with a company called Acheron Analytics. I have experience both working hands-on with technical problems as well as helping leadership teams develop strategies to maximize their data.
*I do participate in affiliate programs, if a link has an "*" by it, then I may receive a small portion of the proceeds at no extra cost to you.
