> ## Documentation Index
> Fetch the complete documentation index at: https://docs.getcollate.io/llms.txt
> Use this file to discover all available pages before exploring further.

# Data Discovery | Collate How-To Guide

> Step-by-step guidance for data discovery using Collate. Learn key actions, features, and best practices.

# Overview of Data Discovery

Discovering data among thousands of datasets is hard without rich metadata and faceted search. Collate with a single catalog aggregates metadata about all data assets, and presents the right information to users depending on their needs. Collate aims to help **data producers** make smart decisions to evolve data and prioritize bug fixes; and help **data consumers** make timely decisions with the right data.

Collate provides a user-friendly interface for **data discovery**. Collate enables you to discover your data using a variety of strategies, including: keyword search, data associations (e.g., frequently joined tables, lineage), and complex queries. Using Collate you can search across tables, topics, dashboards, pipelines, ML models, containers, glossaries, and tags. Collate supports detailed metadata for assets and their components (e.g., columns, charts), including support for complex data types such as arrays and structs. Users can get a complete picture of their data by viewing the **data evolution** tracked using lineage and metadata versioning.

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<CardGroup cols={2}>
  <Card title="How to Discover Assets of Interest" href="/how-to-guides/data-discovery/discover">
    Discover the right data assets quickly.
  </Card>

  <Card title="Get a Quick Glance of the Data Assets" href="/how-to-guides/data-discovery/preview">
    Quick preview of the selected data asset.
  </Card>

  <Card title="Data Asset Details" href="/how-to-guides/data-discovery/details">
    Get a holistic view of the data assets.
  </Card>

  <Card title="Using Advanced Search" href="/how-to-guides/data-discovery/advanced">
    Create complex queries using advanced search.
  </Card>
</CardGroup>