This week I have been digging into Palantir’s tool called Foundry. I have buried myself deep into Stack Overflow questions about Foundry, looked into their AWS integrations, and watched multiple CGI and product demos of how companies could use Foundry as an all-in-one data tool.

Why?
Because I realized that Palantir is trying to take on the entire modern data stack. All in one tool.

Don’t believe me? Just check out some of their marketing materials on the Foundry main page.


They think they have the answer to analytics and the entire data infrastructure stack.

I guess I should stop writing my series on the baseline data stack huh?

But let’s drill into this more before I give up on the last few articles I wrote.


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0:00 Intro
1:21 Video Outline
1:54 Overview
5:20 Challenges Palantir Faces
5:29 Palantir's Lack Of Clarity
7:11 Lack Of Partnerships
8:33 Palantir Talent
14:47 Conclusion
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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