What To Consider When Building Data Pipelines - Intro To Data Infrastructure Part 2

When Building Pipelines What Should You Consider

Tools and technology are just that.

🛠️ Tools.

They won’t actually drive any form of impact on their own.

They won’t develop processes that are connected to dashboards that in turn drive actions without people. Nor are the numbers they are creating going to magically jump off the screen and fix a business.

So before building any data pipeline it’s important to consider a few things.

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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.

[DarshilParmar]

Thanks for this video, always learning something new

[harsha]

Thanks. After watching ur videos I decided my career to be a data engineer. 💯💯

[AbhishekUpperwal]

Hey! Amazing video. Very informative and useful. Which tool is it in the video at 9:00 with all the stats for data quality?

[peteintania]

Very informative, as always. Thank you!

[vedanthasm]

Granular and informative video. Thanks Bro!

[TA-vfyi]

Hi Seattle Data Guy, since you've worked at Meta, I was thinking if you could do a video on Data Modeling? I keep reading all these blog articles that say that 'dimensional modeling is dead' and so on, so I'm wondering how it is done in top tech companies? I'm trying to learn more about data engineering, so thinking if Kimballs books and STAR schemas are still relevant or is there a new paradigm shift and if so what books would you recommend?

[adalke]

Terrific overview of key, universal tenets!

[ralphpatrice]

I never been the first in the comments section before 🤪. Thank you for the great information

[makster]

Great content! Looking forward to upcoming videos

[vinanguyen]

Thanks! Can you link to the I T K Funde video?

[hamsansari]

Hey Ben
In which env are working mostly with ETL or ELT.

[kreedur]

What QCs are you performing? Is there a generally-accepted list?

[flyffreak]

Any good tool for schema analysis for rdms?

[filibertogarced]

Great video!
E is for extract lol 🍪