# Curiosity Workspace // Data Connectors

Welcome to the Curiosity Workspace Data Connector Guide! This section will walk you through the process of setting up a data connector and integrating your data into a graph structure.

By the end of this guide, you’ll have a clear understanding of how to define schemas, ingest data, and explore the resulting graph database.

# In this section:

• Defining Schemas: How to model nodes and edges in C#.
• Ingesting Data: Mapping raw data to the graph.
• Access Control: Managing permissions via the graph.
• Querying: Using the graph query language within connectors.
• Running Connectors: Deployment, tokens, and execution.
• Idempotency: Handling updates and avoiding duplicates.
• Execution Scopes: Understanding the code execution context for indexes.
• Performance: Optimizing for large datasets.
• Troubleshooting: Common issues and how to solve them.