Data Source
Configure the datasources that will be used for raw data extraction.
🌐 Data Source Overview
In ARPIA, a data source is any external repository of data that can be connected and accessed within the platform. This allows users to bring data from multiple systems into one place for integration, analysis, and management.
Supported Data Source Types
ARPIA supports a wide range of data connections, including:
- Databases (SQL, NoSQL, etc.)
- APIs (REST, GraphQL)
- Cloud Storage Services (AWS S3, Google Cloud Storage, Azure Blob, etc.)
- Repositories (internal and external datasets)
- Other External Sources
Once connected, these sources can be managed directly in ARPIA’s interface.
🔧 Data Source Management
From the Data Sources panel, users can:
- Create new connections with the +CREATE button.
- Search across connected sources using the search bar.
- Edit existing sources to update credentials or configurations.
- Drop (remove) sources that are no longer needed.
Each source is displayed with its name, type, and quick-action buttons (Edit / Drop) for simple management.
💡 Key Benefits
- Seamless Integration: Connect multiple sources without complex setup.
- Centralized Management: View, search, and control all data sources in one place.
- Comprehensive Analysis: Leverage ARPIA’s tools to query and analyze data from diverse origins.
- Scalability: Handle everything from small datasets to enterprise-scale repositories.
- Flexibility: Choose the data sources that fit your workflow and business needs.
👉 With ARPIA, managing data sources becomes streamlined, secure, and scalable, empowering teams to work with their data more effectively.
Updated 10 days ago
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