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Panos Alexopoulos: Minimum-viable semantic model
Manage episode 354538739 series 2807440
What is semantic modeling? How and when do you need it? Can you automate it? Today I speak with Panos Alexopoulos author of the book "Semantic Modeling for Data - Avoiding Pitfalls and Breaking Dilemmas" published by O'Reilly.
You can follow Panos on LinkedIn.
Episode page
https://www.discoveringdata.com/podcast/episode-054
Join the Discovering Data community!
The mission of Discovering Data is to create opportunities for data professionals to connect and learn from one another. That's why we launched the Discovering Data Discord server! This community is for people that want to have an impact at work. A place where we can all gather and ask questions so we can help each other grow. Stay curious and keep learning by joining the community at https://bit.ly/discovering-data-discord
For Brands
Do you want to showcase your thought leadership with great content and build trust with a global audience of data leaders? We publish conversations with industry leaders to help practitioners create more business outcomes. Explore all the ways to tell your data story here https://www.discoveringdata.com/brands.
For sponsors
Want to help educate the next generation of data leaders? As a sponsor, you get to hang out with the very in the industry. Want to see if you are a match? Apply now: https://www.discoveringdata.com/sponsors
For Guests
Do you enjoy educating an audience? Do you want to help data leaders build indispensable data products? That's awesome! Great episodes start with a clear transformation. Pitch your idea at https://www.discoveringdata.com/guest.
💬 Feedback, ideas, and reviews
Want to help me stir the direction of this show? Want to see this show grow? Get in touch privately or leave me a review with one of the forms at discoveringdata.com/review.
61 에피소드
Manage episode 354538739 series 2807440
What is semantic modeling? How and when do you need it? Can you automate it? Today I speak with Panos Alexopoulos author of the book "Semantic Modeling for Data - Avoiding Pitfalls and Breaking Dilemmas" published by O'Reilly.
You can follow Panos on LinkedIn.
Episode page
https://www.discoveringdata.com/podcast/episode-054
Join the Discovering Data community!
The mission of Discovering Data is to create opportunities for data professionals to connect and learn from one another. That's why we launched the Discovering Data Discord server! This community is for people that want to have an impact at work. A place where we can all gather and ask questions so we can help each other grow. Stay curious and keep learning by joining the community at https://bit.ly/discovering-data-discord
For Brands
Do you want to showcase your thought leadership with great content and build trust with a global audience of data leaders? We publish conversations with industry leaders to help practitioners create more business outcomes. Explore all the ways to tell your data story here https://www.discoveringdata.com/brands.
For sponsors
Want to help educate the next generation of data leaders? As a sponsor, you get to hang out with the very in the industry. Want to see if you are a match? Apply now: https://www.discoveringdata.com/sponsors
For Guests
Do you enjoy educating an audience? Do you want to help data leaders build indispensable data products? That's awesome! Great episodes start with a clear transformation. Pitch your idea at https://www.discoveringdata.com/guest.
💬 Feedback, ideas, and reviews
Want to help me stir the direction of this show? Want to see this show grow? Get in touch privately or leave me a review with one of the forms at discoveringdata.com/review.
61 에피소드
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