Looker is a data analytics and business intelligence platform that was acquired by Google Cloud in 2019. It is now part of the Google Cloud product portfolio and is commonly referred to as “Looker by Google Cloud.”

Looker provides organizations with a unified platform for exploring, analyzing, and visualizing data from various sources. It enables users to create and share interactive dashboards, reports, and data visualizations to gain insights and make data-driven decisions.

Here are some key features and capabilities of Looker:

1. Data Modeling and Exploration: Looker allows users to create a semantic layer, known as LookML, which defines the relationships, calculations, and business logic for the underlying data sources. Users can explore and query data using an intuitive interface, leveraging the power of SQL.

2. Interactive Dashboards and Reports: Looker enables the creation of interactive and customizable dashboards and reports. Users can drag and drop visualizations, apply filters, and drill down into data to uncover insights. Dashboards can be shared with others, allowing for collaborative analysis.

3. Data Collaboration and Sharing: Looker provides collaboration features that allow teams to work together on data analysis. Users can annotate and comment on data, share reports and dashboards, and set up data subscriptions to receive regular updates.

4. Embedded Analytics: Looker offers embedding capabilities, allowing you to integrate data visualizations and dashboards directly into your own applications or websites. This enables you to provide data analytics functionality to your customers or end-users within your own user interface.

5. Data Governance and Security: Looker provides robust data governance and security features. It allows administrators to manage user access, permissions, and data access policies. Looker integrates with various authentication and authorization systems, ensuring secure access to data.

6. Advanced Analytics and Machine Learning Integration: Looker supports advanced analytics and can integrate with machine learning tools and libraries. This allows users to perform more sophisticated analysis, predictive modeling, and build machine learning models using their data.

Looker is designed to be a scalable and flexible data analytics platform, suitable for small teams as well as large enterprises. It supports a wide range of data sources, including SQL databases, data warehouses, cloud storage, and more.

As part of the Google Cloud portfolio, Looker integrates closely with other Google Cloud services, such as BigQuery, Google Cloud Storage, and Google Cloud Identity and Access Management (IAM). It leverages the scalability, reliability, and security of the Google Cloud infrastructure.

For more detailed information about Looker and its capabilities, I recommend visiting the Looker by Google Cloud website or the Google Cloud documentation specific to Looker.