LookML - bobbae/gcp GitHub Wiki
LookML is a language for describing dimensions, aggregates, calculations, and data relationships in a SQL database. Looker uses a model written in LookML to construct SQL queries against a particular database.
https://docs.looker.com/data-modeling/learning-lookml
LookML tells Looker how to query data, so everyone in the organization can create easy-to-read reports and dashboards to explore patterns of data. Looker offers additional features for creating custom data applications and experiences.
https://docs.looker.com/data-modeling/learning-lookml/lookml-intro
https://www.youtube.com/playlist?app=desktop&list=PL2rFVcDw2yVoXlI3onYS7Ecufjg2ODI9u
Concepts
https://docs.looker.com/data-modeling/learning-lookml/lookml-terms-and-concepts
How Looker generates SQL from LookML
https://docs.looker.com/data-modeling/learning-lookml/how-looker-generates-sql
Looker development foundations
https://training.looker.com/looker-development-foundations
Looker and BigQuery
https://cloud.google.com/bigquery/docs/looker
Symmetric Aggregation
Symmetric aggregates prevent analysts from accidentally miscalculating aggregates.
Maintainable LookML Authoring
Certification
https://cloud.google.com/certification/guides/lookml-developer
dbt
dbt tutorial with BigQuery
https://docs.getdbt.com/tutorial/setting-up
How do you decide what to model in dbt vs LookML
https://blog.getdbt.com/-how-do-you-decide-what-to-model-in-dbt-vs-lookml--/
Dbt vs. Matillion vs. LookML
https://www.stephenlevin.co/data-modeling-layer-startup-analytics-dbt-vs-matillion-vs-lookml/
Examples
KPI control chart
Qwiklabs
Understanding LookML in Looker
https://www.qwiklabs.com/quests/170