VCollect
5min
The Data Ingestion feature in VAL streamlines the process of collecting, consolidating, and preparing data from various sources for analysis. It serves as the foundation for all subsequent data processing tasks, ensuring seamless integration, accuracy, and efficiency.
- Multi-Source Connectivity: Supports ingestion from diverse data sources, including databases, APIs, file systems, and third-party platforms.
- Automated Data Pull: Schedule and automate data ingestion processes to reduce manual effort and improve reliability.
- Real-Time or Batch Ingestion: Offers flexibility to handle both real-time data streams and periodic batch processing.
- Source Integration: Users connect their data sources to VAL using secure authentication and predefined connectors.
- Data Extraction: The ingestion engine extracts data using optimised queries or streaming protocols.
- Transformation: Lightweight transformations can be applied during ingestion, including filtering, aggregation, or field mapping.
- Storage: Ingested data is stored in VAL's secure and scalable storage, ready for processing and analysis.
- Faster Data Integration: Simplifies the process of bringing new data sources into the platform.
- Enhanced Scalability: Handles growing data volumes and complex integrations effortlessly.
- Improved Data Quality: Ensures only clean and validated data enters the platform.
- Operational Efficiency: Automates repetitive tasks and reduces the time to value for data insights.
Below are different ways you can get data into VAL
Work in progress: We are currently in working on making our documentation available online. So stay tune and feel free to reach out to us directly if any queries.
Updated 03 Feb 2025
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