1 hr
Data Modeling: your data isn't going to model itself w/ Anna Abramova Catalog & Cocktails: The Honest, No-BS Data Podcast
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- Technology
Data modeling isn’t new. So why is it still a problem?
Maybe the problem isn’t data modeling itself, but rather there is no modern solution for companies, or the incentives are not well understood. It’s a learn-as-you-go type of thing, but that’s where the trouble lies.
Do you hire one data engineer and have them do everything? Do we encourage training in data modeling? OR… do we throw in the towel and keep doing things as they’ve always been done?
Join Tim, Juan, and special guest Anna Abramova from SqlDBM to answer these burning questions on this week’s episode of Catalog & Cocktails.
Key Takeaways
[00:11 - 01:03] Introduction to Anna Abramova[01:03 - 04:03] Champagne vending machines & cheers all around[04:11 - 05:27] If you could model your home after one famous building or monument what would it be?[05:30 - 06:35] What's the deal with data modeling at SqlDBM[06:37 - 09:09] The origin story of SqlDBM[09:09 - 10:58] A modern approach to data modeling[10:58 - 12:04] What modern means in the context of data modeling[12:08 - 14:30] Why is data modeling now becoming such a hot topic?[14:33 - 17:24] Data modeling trends: startups and small businesses[17:25 - 20:41] Data modeling trends in medium-sized companies[20:43 - 21:32] Data modeling trends in large organizations[21:33 - 26:16] Summarizing data trends and real world applications[26:48 - 30:40] Metaphors around data modelings and architecting, problem solving[30:51 - 35:37] The biggest value triggers around data modeling[35:40 - 37:21] The pearl of the ocean[37:25 - 40:39] How are people learning data modeling?[40:42 - 43:17] A role or a skill?[43:18 - 45:10] Data modeling isn't the sexiest topic[45:12 - 46:16] A good foundation and resilience[46:26 - 49:39] Lightning round[49:55 - 55:19] Juan & Tim's Takeaways[55:37 - 58:51] Three questions about data and life
Data modeling isn’t new. So why is it still a problem?
Maybe the problem isn’t data modeling itself, but rather there is no modern solution for companies, or the incentives are not well understood. It’s a learn-as-you-go type of thing, but that’s where the trouble lies.
Do you hire one data engineer and have them do everything? Do we encourage training in data modeling? OR… do we throw in the towel and keep doing things as they’ve always been done?
Join Tim, Juan, and special guest Anna Abramova from SqlDBM to answer these burning questions on this week’s episode of Catalog & Cocktails.
Key Takeaways
[00:11 - 01:03] Introduction to Anna Abramova[01:03 - 04:03] Champagne vending machines & cheers all around[04:11 - 05:27] If you could model your home after one famous building or monument what would it be?[05:30 - 06:35] What's the deal with data modeling at SqlDBM[06:37 - 09:09] The origin story of SqlDBM[09:09 - 10:58] A modern approach to data modeling[10:58 - 12:04] What modern means in the context of data modeling[12:08 - 14:30] Why is data modeling now becoming such a hot topic?[14:33 - 17:24] Data modeling trends: startups and small businesses[17:25 - 20:41] Data modeling trends in medium-sized companies[20:43 - 21:32] Data modeling trends in large organizations[21:33 - 26:16] Summarizing data trends and real world applications[26:48 - 30:40] Metaphors around data modelings and architecting, problem solving[30:51 - 35:37] The biggest value triggers around data modeling[35:40 - 37:21] The pearl of the ocean[37:25 - 40:39] How are people learning data modeling?[40:42 - 43:17] A role or a skill?[43:18 - 45:10] Data modeling isn't the sexiest topic[45:12 - 46:16] A good foundation and resilience[46:26 - 49:39] Lightning round[49:55 - 55:19] Juan & Tim's Takeaways[55:37 - 58:51] Three questions about data and life
1 hr