description="Guide to start ingesting metadata seamlessly from your data sources."
link="/getting-started/day-1/collate-saas"
icon="discovery"
/%}
{% /tilesContainer %}
2.**Run the connector in your infrastructure or laptop**: The hybrid model offers organizations the flexibility to run metadata ingestion components within their own infrastructure. This approach ensures that Collate's managed service doesn't require direct access to the underlying data. Instead, only the metadata is collected locally and securely transmitted to our SaaS platform, maintaining data privacy and security while still enabling robust metadata management. You can read more about how to extract metadata in these cases [here](/getting-started/day-1/hybrid-saas).
OpenMetadata provides a comprehensive solution for data teams to break down silos, securely share data assets across various sources, foster collaboration around trusted data, and establish a documentation-first data culture within the organization.
{% tilesContainer %}
{% tile
title="Data Discovery"
description="Discover the right data assets to make timely business decisions."
link="/how-to-guides/data-discovery"
icon="discovery"
/%}
{% tile
title="Data Collaboration"
description="Foster data team collaboration to enhance data understanding."
link="/how-to-guides/data-collaboration"
icon="collaboration"
/%}
{% tile
title="Data Quality & Observability"
description="Trust your data with quality tests & monitor the health of your data systems."
link="/how-to-guides/data-quality-observability"
icon="observability"
/%}
{% tile
title="Data Lineage"
description="Trace the path of data across tables, pipelines, and dashboards."
link="/how-to-guides/data-lineage"
icon="lineage"
/%}
{% tile
title="Data Insights"
description="Define KPIs and set goals to proactively hone the data culture of your company."
link="/how-to-guides/data-insights"
icon="discovery"
/%}
{% tile
title="Data Governance"
description="Enhance your data platform governance using OpenMetadata."
link="/how-to-guides/data-governance"
icon="governance"
/%}
{% /tilesContainer %}
## Deep Dive into OpenMetadata: Guides for Admins and Data Users
{% tilesContainer %}
{% tile
title="Admin Guide"
description="Admin users can get started with OpenMetadata with just three quick and easy steps & know-it-all with the advanced guides."
link="/how-to-guides/admin-guide"
icon="administration"
/%}
{% tile
title="Guide for Data Users"
description="Get to know the basics of OpenMetadata and about the data assets that you can explore in the all-in-one platform."
- Trace your data flow with [column-level lineage](/how-to-guides/data-lineage) graphs to understand where your data comes from, how it is used, and how it is managed.
- Build [no-code data quality tests](how-to-guides/data-quality-observability/quality/tab) to ensure its technical and
business quality, and set up an [alert](/how-to-guides/data-quality-observability/observability) for any test case failures to be quickly notified of critical data issues.
- Write [Knowledge Center](/how-to-guides/data-collaboration/knowledge-center) articles associated with data assets to document key information for your team, such as technical details, business context, and best practices.
- Review the different [Data Insights Reports](/how-to-guides/data-insights/report) on Data Assets, App Analytics, KPIs, and [Cost Analysis](/how-to-guides/data-insights/cost-analysis) to understand the health, utilization, and costs of your data estate.
- Build no-code workflows with [Metadata Automations](https://www.youtube.com/watch?v=ug08aLUyTyE&ab_channel=OpenMetadata) to add attributes like owners, tiers, domains, descriptions, glossary terms, and more to data assets, as well as propagate them using column-level lineage for more automated data management.
