13 docs tagged with "model"

Learn about add impact analysis in github.

Learn about add impact analysis in gitlab.

Atlan uses [Azure OpenAI Service](https://azure.microsoft.com/en-in/products/cognitive-services/openai-service) to power Atlan AI. Specifically, Atlan uses GPT-4o, a large, pretrained AI model.

Data models provide a framework to describe how data is structured, organized, and related within a system. It acts as a blueprint for organizations to design their business applications and processes. Data models can be of different types: relational, hierarchical, entity relationship, and network.

The Atlan Model Context Protocol (MCP) server enables seamless interaction between external tools and Atlan services. It defines the data structures and conventions used to prepare and transmit context for model execution, making it easier to integrate Atlan into your existing workflows.

The dbt-action is a custom action designed to perform impact analysis on changes to your dbt models in a [GitHub](/apps/connectors/etl-tools/dbt/how-tos/.

:::warning Who can do this? You will probably need your dbt Cloud administrator to complete these steps - you may not have access yourself.

What are the known limitations of data models in Atlan?

Once you have [ingested your ER model assets in Atlan](/product/capabilities/data-models/concepts/what-are-data-models), you can:.

Atlan crawls and maps the following assets and properties from Looker.

Atlan crawls and maps the following assets and properties from Sisense.

Learn about what is the difference between a power bi data source and dataflow?.

Atlan displays SQL queries for dbt process nodes between SQL tables and also on dbt models. However, Atlan does not display dbt process nodes between two dbt assets - for example, between two models. This is because Atlan does not use any SQL query to generate this type of lineage.