5 Comments

Thank you for including my newsletter! This is an excellent list of resources for Data Engineering expertise and real world implementations.

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Thank you for your comment Vin, I always wished I would have been able to send you more traffic. Remember when it was just you and me and a few others? Now there's dozens of new Newsletters in our domain each week.

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It’s nice to have new voices but it’s getting to that point in the hype cycle where the charlatans show up.

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Yes the Web3 kids had to pivot I guess!

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Thank you for this insightful roundup of Data Engineering resources and newsletters on Substack! As someone dedicated to empowering the next generation of Python users, I truly appreciate the focus on education and actionable tips in this rapidly evolving field. At dltHub, we share a similar mission, as discussed in our blog :

https://dlthub.com/blog/dlthub-mission

We're striving to build and maintain an open-source Python library, data load tool (dlt), to transform messy, unstructured data into quality datasets. If you're exploring data engineering and haven't yet found a straightforward, scalable solution for data loading, you might find dlt to be a perfect fit. Keep up the great work in spreading knowledge and fostering a community around these crucial topics! #DataEngineering #DataScience #dltHub

Best,

Aman Gupta,

DLT Team

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