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33 docs tagged with "Metadata management"

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Amazon Bedrock

Follow the steps below to configure the AI Autodocumentation feature in Dataedo with models hosted in Amazon Bedrock. Dataedo connects to Bedrock through its OpenAI-compatible API and authenticates with a Bedrock API key.

Anthropic

Follow the steps below to configure the AI Autodocumentation feature in Dataedo with Anthropic Claude models.

Automated Data Classification and Semantic Types

Data Classification and Semantic Types enable easy categorization of your data and help you ensure compliance with various information protection acts. If Classification is added to an object, the relevant badge is displayed on all its representations within your repository and can be seen by all users.

Azure OpenAI

Follow the steps below to configure the AI Autodocumentation feature in Dataedo with Azure OpenAI models.

Badges

Overview of badges in Dataedo

Best practices for ERDs

Check out these tips for creating effective Entity-Relationship Diagrams (ERDs) with Dataedo.

Bulk add and update assets

Learn how to add many assets to a data source or reporting at once, or update their descriptions and custom fields, from an Excel workbook.

Bulk import Terms

Learn how to create and update many Glossary Terms at once from an Excel or CSV file.

Configuration

Connect Dataedo Portal to OpenAI, Azure OpenAI, Anthropic, Google Gemini, xAI Grok, Mistral AI, Amazon Bedrock, or any OpenAI-compatible provider to generate descriptions with AI.

Google Gemini

Follow the steps below to configure the AI Autodocumentation feature in Dataedo with Google Gemini models.

Metadata Sync

Currently, this feature is supported for Databricks (Unity Catalog), Snowflake and Azure SQL Database connections.

Mistral AI

Follow the steps below to configure the AI Autodocumentation feature in Dataedo with Mistral AI models.

OpenAI

Follow the steps below to configure the AI Autodocumentation feature in Dataedo with OpenAI models.

OpenAI-compatible

Follow the steps below to configure the AI Autodocumentation feature in Dataedo with any service that implements the OpenAI chat completions protocol, such as Groq, OpenRouter, vLLM, Ollama, or LM Studio.

Running and Viewing Data Classification

Data Classification is important, raising general awareness of sensitive data within your organization. As such, it is crucial that you understand how to run the process, and read its results.

Term relationships

Learn how to define relationships between terms, categories, rules, and policies in the catalog.

Troubleshooting

Learn how to troubleshoot common issues with AI autodocumentation

xAI Grok

Follow the steps below to configure the AI Autodocumentation feature in Dataedo with xAI Grok models.