The Joe Reis Show Jamie Davidson - Modern Data Modeling
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Jan 21, 2025 Jamie Davidson, Chief Product Officer at Omni and former VP of Product at Looker, dives into the realm of modern data modeling. He discusses the evolution from startups to big tech and back, emphasizing the need for accessible data in business intelligence. The conversation highlights the balance between agility and structure in data modeling, and the importance of partnerships with companies like Snowflake. Davidson also shares insights on future AI advancements, the shift towards cost-effective data solutions, and innovative technologies like DuckDB.
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Data Modeling Value
- Data modeling's value increases when a data professional serves non-technical users.
- Modeling helps define business operations, optimize questions, and becomes a byproduct of business thinking.
Balancing Speed and Debt
- Start with lightweight, agile data exploration to maximize the speed of question asking.
- Standardize reusable elements in a semantic model or DBT as your data and questions become more consistent.
Data Stack Evolution
- Early modern data stacks consisted of Fivetran, Snowflake, and Looker.
- Over time, point solutions proliferated, leading to complex data stacks with numerous vendors.