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In this episode of the Data Engineering Central Podcast, I sit down with Hoyt Emerson, founder of The Full Data Stack and Early Signal, for a wide-ranging conversation on data, analytics, and creating content in the tech world.
We talk candidly about:
* What actually matters in modern data and analytics
* Why so much “data content” misses the mark
* The difference between noise and real signal
* What works (and doesn’t) when building a technical audience
* Writing, consistency, and credibility in the data space
* Why opinions + experience beat trends and buzzwords
If you’re a data engineer, analyst, or technologist who’s curious about both building better data systems and communicating ideas that resonate, this episode goes deep on the lessons learned from doing both.
This is less about hacks—and more about craft, judgment, and long-term thinking.
Thanks for reading Data Engineering Central! This post is public so feel free to share it.
By Data Engineering in Real LifeIn this episode of the Data Engineering Central Podcast, I sit down with Hoyt Emerson, founder of The Full Data Stack and Early Signal, for a wide-ranging conversation on data, analytics, and creating content in the tech world.
We talk candidly about:
* What actually matters in modern data and analytics
* Why so much “data content” misses the mark
* The difference between noise and real signal
* What works (and doesn’t) when building a technical audience
* Writing, consistency, and credibility in the data space
* Why opinions + experience beat trends and buzzwords
If you’re a data engineer, analyst, or technologist who’s curious about both building better data systems and communicating ideas that resonate, this episode goes deep on the lessons learned from doing both.
This is less about hacks—and more about craft, judgment, and long-term thinking.
Thanks for reading Data Engineering Central! This post is public so feel free to share it.