The Data Engineering Job No One Wants To Do - Backfilling

At some point, if you work in data, whether you’re an analyst or a data engineer.

You’re going to have to do it.

You’re going to have to backfill a table.

Actually, it’ll probably be pretty early in your career. Backfilling or rerunning a pipeline is just a necessity, AI or not.

There are plenty of reasons why you might need to backfill a table..sadly.

Talking to data engineers…many of them dislike the process of backfilling.

So let’s start there. Let’s discuss why we backfill as data teams and why we dislike it so much.

Also thanks - Marko Pavliuk for the thumbnail design

If you enjoyed this video, check out some of my other top videos.

Common Data Pipeline Patterns You’ll See in the Real World - Types Of Data Pipelines You'll Build
https://youtu.be/htAipJ6yYFs

What Is BigQuery - Breaking Down What BigQuery Is And Diving Into A Hands On Walkthrough
https://youtu.be/pud-vuNE15g

If you're looking for help ingesting your data in batch or real time, then you need to check out Estuary - https://bit.ly/4eQC3oQ

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Tags: Data engineering projects, Data engineer project ideas, data project sources, data analytics project sources, data project portfolio

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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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Видео The Data Engineering Job No One Wants To Do - Backfilling канала Seattle Data Guy