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/becoming-a-data-engineering-force

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

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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.

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