Using Looker

Looker is an enterprise platform for business intelligence, data applications, and embedded analytics. Looker helps you explore, share, and visualize your company's data so that you can make better business decisions.

How Looker works

Looker lets data experts at each organization describe their data using a lightweight modeling language called 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.

Looker's platform works with transactional databases like Oracle and MySQL as well as analytical datastores like BigQuery, Snowflake, Redshift, and more. Looker lets you create consistent data models on top of all your data with speed and accuracy. Looker offers a unified surface to access all of an organization's data.

Looker integration with BigQuery

Looker supports hosting in Google Cloud. Because Looker is platform independent, it connects to data in BigQuery as well as other public clouds.

You don't need Looker to use BigQuery. However, if your BigQuery use case includes business intelligence, data applications, or embedded analytics you might want to review Looker as a provider of these services.

Getting started with Looker and BigQuery

The BI Engine SQL interface expands BI Engine to integrate with business intelligence (BI) tools such as Looker. For more information, see BigQuery BI Engine SQL interface overview. This feature is in preview and requires enrollment.

If you already have a Looker instance running, see the instructions for connecting Looker to BigQuery.

Learn more

There are many additional options related to administering Looker, customizing its data model, and exposing data to users. For more information, see the following resources: