* Data modelers need to understand patterns * Like programming, don't reinvent the wheel * Universal patterns & metapatterns exist * Remember "The Data Model Resource Book" The comments I provided in reaction to a community discussion thread. Vice President at Data Modeling Training Firm: I am always wondering why

* DB-Engines ranking of DBMS products * Databricks climbs after my proposal to include * Databricks is runner-up winner for 2023 * Earlier rankings left out Databricks A well-received community post I recently made (re-posted 14 times at the time of this blog post): https://www.linkedin.com/posts/erikgfesser_databricks-snowflake-dbengines-activity-7150225307155755008-E_uS Some of

* Snowflake vs Databricks account penetration * Account growth rates not divulged * Data can be easily misinterpreted * Databricks: AI advantage, closing in elsewhere The comments I provided in reaction to a community discussion thread. Strategic Data & AI Advisor at Databricks: I always tell customers, if snowflake is able to justify their

* Citizen users of SQL need multiple skills * Understand what tables & views needed * Generate correct output * Performantly generate correct output The comments I provided in reaction to a community discussion thread. Chief Product Officer at Analytics Product Firm: I've met data analysts who can run circles around data

* Dumb goal: wholesale self-service analytics * Don't attempt a shotgun approach * Self-service users need to be defined * Identify & cater to power users The comments I provided in reaction to a community discussion thread. Chief Product Officer at Analytics Product Firm: Self service analytics is a dumb goal, and