# Looker

### Overview

Looker is Daasity's primary tool for data visualization and reporting. It connects to your Daasity data warehouse and gives your team access to pre-built Explores and dashboards that are maintained and updated by Daasity. You can use Looker to build reports from scratch, customize visualizations, schedule deliveries, and export data in a variety of formats.

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### How your Looker instance is set up

Daasity provisions and manages your Looker instance using a Hub & Spoke architecture. Daasity maintains a central set of core files — the hub — that are imported directly into your Looker instance. These files power your out-of-the-box Explores and LookML dashboards and are updated automatically when Daasity pushes changes.

Your instance — the spoke — contains both the imported base files and a set of editable files where you can customize the base configuration or build entirely new content using LookML refinements.

For a full breakdown of how the Hub & Spoke works and how to build on top of it, see [Advanced / Developer](https://help.daasity.com/core-concepts/bi-tools/looker/advanced-developer).

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#### What's in this section

* **Getting Started** — new to Looker? Start with the [How to Analyze Your Data](https://help.daasity.com/getting-started/quickstart-guides/how-to-analyze-your-data) quickstart guide.
* **Semantic Layer & Governance** — how Daasity's governed metrics and Unified Schemas power your Explores
* **Working with Explores** — how to access, filter, and build reports from your data
* **Dashboards** — building, saving, scheduling, and sharing dashboards
* **Advanced / Developer** — LookML, the Hub & Spoke file structure, and customizing base Daasity code


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