Data Engineering Vs Machine Learning Pipelines – What Is The Difference
Data engineering and machine learning pipelines are both very different but oddly can feel very similar. Many ML engineers I have talked to in the past rely on tools like Airflow to deploy their batch models.
So I wanted to discuss the difference between data engineering vs machine learning pipelines.
To answer this question, I pulled in Sarah Floris, who is both an experienced data engineer as well as the author behind the newsletter The Dutch Engineer.
So let’s dive in.
You can read the full article here - https://seattledataguy.substack.com/p/data-engineering-vs-machine-learning
Also if you're looking for a new tool to build your data engineering or machine learning pipelines, check out - https://bit.ly/41h6Pjy
If you enjoyed this video, check out some of my other top videos.
Top Courses To Become A Data Engineer
https://www.youtube.com/watch?v=kW8_l57w74g
What Is The Modern Data Stack - Intro To Data Infrastructure Part 1
https://www.youtube.com/watch?v=-ClWgwC0Sbw
If you would like to learn more about data engineering, then check out Googles GCP certificate
https://bit.ly/3NQVn7V
If you'd like to read up on my updates about the data field, then you can sign up for our newsletter here.
https://seattledataguy.substack.com/
Or check out my blog
https://www.theseattledataguy.com/
And if you want to support the channel, then you can become a paid member of my newsletter
https://seattledataguy.substack.com/subscribe
Tags: Data engineering projects, Data engineer project ideas, data project sources, data analytics project sources, data project portfolio
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Subscribe: https://www.youtube.com/channel/UCmLGJ3VYBcfRaWbP6JLJcpA?sub_confirmation=1
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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.
Data engineering and machine learning pipelines are both very different but oddly can feel very similar. Many ML engineers I have talked to in the past rely on tools like Airflow to deploy their batch models.
So I wanted to discuss the difference between data engineering vs machine learning pipelines.
To answer this question, I pulled in Sarah Floris, who is both an experienced data engineer as well as the author behind the newsletter The Dutch Engineer.
So let’s dive in.
You can read the full article here – https://seattledataguy.substack.com/p/data-engineering-vs-machine-learning
Also if you’re looking for a new tool to build your data engineering or machine learning pipelines, check out – https://bit.ly/41h6Pjy
If you enjoyed this video, check out some of my other top videos.
Top Courses To Become A Data Engineer
https://www.youtube.com/watch?v=kW8_l57w74g
What Is The Modern Data Stack – Intro To Data Infrastructure Part 1
https://www.youtube.com/watch?v=-ClWgwC0Sbw
If you would like to learn more about data engineering, then check out Googles GCP certificate
https://bit.ly/3NQVn7V
If you’d like to read up on my updates about the data field, then you can sign up for our newsletter here.
https://seattledataguy.substack.com/
Or check out my blog
https://www.theseattledataguy.com/
And if you want to support the channel, then you can become a paid member of my newsletter
https://seattledataguy.substack.com/subscribe
Tags: Data engineering projects, Data engineer project ideas, data project sources, data analytics project sources, data project portfolio
_____________________________________________________________
Subscribe: https://www.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.
