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How I got started in data
Francesco Puppini
with
Data Something or other and Author
Francesco Puppini is the inventor of the Unified Star Schema, a methodology aimed at resolving the "last mile challenge" of delivering accurate information to business users. Francesco co-authored the book Unified Star Schema with Bill Inmon and has applied his expertise to numerous projects across Europe, focusing on eliminating data duplication errors through innovative definitions and methodologies.
Introduction
Can you tell us a bit about yourself — where you’re based, what you do now, and your current role in data?
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How would you describe your work to someone completely new to data?
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Getting Started
How did you first get interested in data? Was there a moment or experience that sparked it?
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What was your background before working in data — and how did that shape your approach?
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What was your first data-related role or project, and how did it come about?
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Learning and Growth
How did you build your data skills — formal education, self-learning, or a mix of both?
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Were there any key challenges you faced when starting out? How did you overcome them?
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Did any mentors, communities, or resources play an important role in your journey?
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Tools, Projects, and Practice
What tools or technologies did you start with, and what do you primarily use today?
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Can you share a project that had a big impact on your learning or career?
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How do you stay current with new tools, techniques, or trends in data?
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Impact and Perspective
What kinds of data problems or domains excite you most today?
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How has your view of “working in data” changed over time?
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What’s the most rewarding aspect of your work?
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Advice for the Data Community
What advice would you give someone trying to break into data today?
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Are there any misconceptions about data careers you’d like to clear up?
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What’s one resource (book, course, podcast, or community) you recommend for aspiring data professionals?
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Quick Fire
If your data career were a movie, what would the title be?
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What’s one data-related hill you’re willing to die on?
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If you could have access to any dataset in the world, what would it be and why?
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Closing
How can people connect with you or follow your work (LinkedIn, GitHub, etc.)?
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Any final thoughts or shoutouts to the data community?
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A short interesting quote snippet from the article to make them want to read it in more detail.
