Nikolay and Michael discuss denormalization in Postgres — when and why to denormalize things, and a couple of specific cases Nikolay came across recently.  Here are some links to things they mentioned:Denormalization https://en.wikipedia.org/wiki/DenormalizationOur episode on materialized views https://postgres.fm/episodes/materialized-viewsOur episode on data model trade-offs https://postgres.fm/episodes/data-model-trade-offsOur episode with Markus Winand https://postgres.fm/episodes/modern-sqlUniversal Relation Data Modelling Considered Harmful (blog post by Michael Stonebraker and Álvaro Hernández) https://www.enterprisedb.com/blog/universal-relation-data-modelling-considered-harmfulBoyce–Codd normal form https://en.wikipedia.org/wiki/Boyce%E2%80%93Codd_normal_formOur episode on slow count https://postgres.fm/episodes/slow-countpg_ivm https://github.com/sraoss/pg_ivmdenorm https://github.com/rivethealth/denormPostgres Materialized Views, The Timescale Way (blog post by David Kohn) https://www.timescale.com/blog/materialized-views-the-timescale-way/PgQ https://github.com/pgq/pgqDatabases, types, and the relational model (by C.J. Date and Hugh Darwen) https://www.dcs.warwick.ac.uk/~hugh/TTM/DTATRM.pdf~~~What did you like or not like? What should we discuss next time? Let us know via a YouTube comment, on social media, or by commenting on our Google doc!~~~Postgres FM is produced by:Michael Christofides, founder of pgMustardNikolay Samokhvalov, founder of Postgres.aiWith special thanks to:Jessie Draws for the elephant artwork 

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