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.

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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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[firefoxmetzger]

It is messy to directly compare feature engineering (FE) to the transform step in ETL; they exist on different levels of abstraction. A "traditional" ETL pipeline looks more like ETTTTL in practice because data is piped between multiple tables before it ends up in something like a dashboard or ML model. In the non-ML use case, we design that last "T" by consulting analysts and stakeholders to understand what subset of the data they need at which cadence for reporting/tracking/etc. In the ML use case, we design the last "T" using feature engineering to match the data to the requirements of the algorithm / ML model we are using.

[tonghongchen]

I found this video a bit abstract. Does anyone know a good comparison between Airflow and Kubeflow (or TFX)? That may help provide concrete examples of Data Engineering vs ML pipelines

[mahmudhasan]

I can tell all of that definitions you’ve put up there in the video is generated by chatgpt 😅

[Onuorahh]

Is it possible to become both a backend developer and a data engineer at the same time

[Nick-duss]

What is your opinion on Godfather of ai statement after resigned Google