Data Gibberish

Data Gibberish

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Data Gibberish
Data Gibberish
Data Gibberish turns experienced data professionals into well-rounded leaders. This is how you stop being overlooked, work on the problems that matter and get paid what you deserve. Nobody else teaches you this in data.

Career

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1:17:15
👷 You're Not Stuck Because You're Not Good Enough
Your organization has a different idea of what valuable looks like than you do, and that gap is probably what is holding you back
 • Yordan Ivanov and David Langer
👷 Everybody Talks About AI (And They Are All Wrong)
The AI adoption race is built on a benchmark that doesn't exist, and while you're busy trying to catch up, your actual job is full of problems nobody's…
 • Yordan Ivanov
👷 The First 90 Seconds of Your Interview Are the Most Important
You are being handed the steering wheel for the interview, and you are doing it wrong.
 • Yordan Ivanov

Operations

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👷 The 4 Questions That Decide if Your Idea Deserves Your Time
You're afraid. So you say yes to everything that sounds impactful. That's exactly how you end up visible for the wrong reasons.
 • Yordan Ivanov
👷 How to Finish Early and Satisfy your Stakeholders
This is how I ship projects when they are good enough and move to the next thing faster than other engineers.
 • Yordan Ivanov
👷 Stop Starting Data Projects
The minimum viable process for turning vague stakeholder requests into shipped, adopted work
 • Yordan Ivanov

Stakeholders

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👷 How I Made My Data Platform's Failures Public and Earned My Stakeholders' Trust
Data teams spend years talking about data products. Almost none run their platforms like one.
 • Yordan Ivanov
43:43
The Identity Shift Nobody Warns You About When You Become a Team of One
Switching stacks is easy. Switching who you think you are is a different problem entirely.
 • Yordan Ivanov and Yuki
How to Run Better 1:1 Meetings With Your Manager
The 30 minutes that shape your priorities, your credibility, and your next promotion are the ones you spend preparing least for.
 • Yordan Ivanov

Leadership

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1:04:35
👷 How to Use AI Like This World Class CDO
Why a clean data warehouse still produces three different numbers for the same metric, what changes once AI takes over the audit work, and why the…
 • Yordan Ivanov and Nick Valiotti
1:12:25
👷 What Olympians, CEOs, and Lords Have in Common
A photographer who built and lost a company, then interviewed 22 Olympic champions and billionaires, accidentally diagnosed why most senior data…
 • Yordan Ivanov and Peter Mukherjee
51:04
How to Transition from Managing Pipelines to Managing People like Prajakta
What does it actually take to start managing people and strategy?
 • Yordan Ivanov and Prajakta
Become a well-rounded data leader!
Top posts

Recent posts

View all
👷 Everybody Talks About AI (And They Are All Wrong)
The AI adoption race is built on a benchmark that doesn't exist, and while you're busy trying to catch up, your actual job is full of problems nobody's…
 • Yordan Ivanov
👷 How I Made My Data Platform's Failures Public and Earned My Stakeholders' Trust
Data teams spend years talking about data products. Almost none run their platforms like one.
 • Yordan Ivanov
👷 The 4 Questions That Decide if Your Idea Deserves Your Time
You're afraid. So you say yes to everything that sounds impactful. That's exactly how you end up visible for the wrong reasons.
 • Yordan Ivanov
1:04:35
👷 How to Use AI Like This World Class CDO
Why a clean data warehouse still produces three different numbers for the same metric, what changes once AI takes over the audit work, and why the…
 • Yordan Ivanov and Nick Valiotti
👷 How to Finish Early and Satisfy your Stakeholders
This is how I ship projects when they are good enough and move to the next thing faster than other engineers.
 • Yordan Ivanov
👷 The First 90 Seconds of Your Interview Are the Most Important
You are being handed the steering wheel for the interview, and you are doing it wrong.
 • Yordan Ivanov

Data Gibberish

Data Gibberish turns experienced data professionals into well-rounded leaders. This is how you stop being overlooked, work on the problems that matter and get paid what you deserve. Nobody else teaches you this in data.
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