Welcome to the Data Source section of the Explore Dashboard! 📊 This guide explains how to configure and manage data sources within our platform.

Overview

A data source is the origin of data used to populate dashboards and visualizations. It can be a database, API, file system, or cloud service. Here's how to get started:

  • 🌐 Connect to External Systems: Use our built-in tools to link to databases like MySQL, PostgreSQL, or MongoDB.
  • 📁 Import Local Files: Upload CSV, Excel, or JSON files directly from your machine.
  • 🔄 Sync with Cloud Services: Integrate with AWS S3, Google Cloud Storage, or Azure Blob Storage.

For detailed steps on setting up a data source, check out our Data Source Configuration Guide.

Types of Data Sources

There are three primary types supported by the platform:

  1. Database Connections

    Database_Connection

    Use this for real-time data from relational or NoSQL databases.

  2. API Endpoints

    API_Integration

    Ideal for fetching data from third-party services like REST APIs or GraphQL.

  3. File Uploads

    File_Import

    Perfect for static datasets stored locally or in cloud storage.

Best Practices

  • Always validate data formats before importing.
  • Use secure credentials for database/API connections.
  • Regularly test data flow to ensure reliability.

For more advanced techniques, explore our Dashboard Development FAQ.