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Looker enables businesses to analyze their data, create reports, and make data-driven decisions. The platform offers a user-friendly interface and integrated data visualizations.
Use this profile to understand the building block briefly, place it in the model, and open related building blocks.
Usable application software: supports people in a task.
Concrete cog in the system that works inside larger relationships.
Looker is a Google Cloud business-intelligence platform connecting centrally modeled business logic with exploratory analysis, dashboards, and embedded data products.
Looker was founded in 2012, established its model-based approach through LookML, and became part of Google Cloud in 2020.
LookML describes views, relationships, dimensions, measures, and access rules above a database. Users build Explores, queries, and visualizations from them; Looker generates SQL and runs it in the warehouse. Dashboards, schedules, APIs, and embedding distribute results.
Central definitions connect technical fields with consistent business concepts.
Users combine approved dimensions and measures into warehouse queries.
Dashboards, exports, APIs, and embedding bring insights into work contexts.
Looker fits governed self-service analytics on modern warehouses. Model quality, SQL performance, permissions, freshness, cost, and ownership of shared metrics determine trust and scale.
Where this building block is located in the topic model.
Explore how this building block connects to concepts, methods, technologies, and tools.
These sources establish the term and its professional meaning.
All direct connections of the current building block in a compact text view.
This classification shows where the building block typically matters, how demanding it is, and what kind of impact it has in the model.
The level within the organization (enterprise, domain, team) at which the AssetBlock is applied.