description Google Looker (Cloud) Overview
Looker excels by introducing a robust semantic layer (LookML) that sits on top of your data warehouse. This layer standardizes metrics and definitions across the entire organization, ensuring that 'Revenue' means the exact same thing to every user, regardless of the underlying database. It is the gold standard for data governance in large, complex, multi-departmental organizations.
help Google Looker (Cloud) FAQ
What does LookML do in Google Looker?
LookML is Looker's modeling language for defining dimensions, measures, joins, and business logic on top of warehouse data. It lets teams define a metric like revenue once instead of rebuilding it separately in every dashboard.
Is Google Looker the same as Looker Studio?
No. Looker is the enterprise BI platform with LookML and governed semantic modeling, while Looker Studio is Google's lighter dashboarding and reporting tool.
What warehouses does Looker usually sit on top of?
Looker is commonly used with cloud warehouses such as BigQuery, Snowflake, Amazon Redshift, and Databricks. It queries the database rather than importing everything into a separate BI engine.
Why would a company choose Looker over Tableau or Power BI?
The main reason is governed metrics through LookML, especially when many departments need the same definitions. Tableau and Power BI are often faster for ad hoc visual exploration, but Looker is stronger when the semantic layer is the product.
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