Send Veracross data to BigQuery.
No pipelines orchestration. No coding. No extra setup.
Simply add your queries to a Data Package, and our system will take care of the rest.
Product Highlights
Automated Data Ingestion
The uploader automatically processes your CSV files without manual intervention, making bulk uploads effortless and saving you valuable time.
Intelligent Schema Management
Our tool determines the optimal schema from the file. It automatically detects schema changes between uploads and applies them to your BigQuery tables, ensuring your data structure evolves with your needs.
Smart Data Type Handling
The system intelligently infers appropriate data types (STRING, INTEGER, FLOAT, DATE) based on content analysis and automatically converts them to BigQuery-compatible formats.
Data Transformation & Cleaning
The uploader automatically cleans column names for BigQuery compatibility and properly handles special characters. It manages quoted fields, newlines, and other potential formatting issues, ensuring your data arrives intact and ready for analysis.
Data Security & Compliance
We prioritize your data security with Google Cloud service account integration for secure authentication. The tool handles sensitive information properly and supports your compliance requirements by maintaining data integrity throughout the transfer process.
Comprehensive Data Encryption
Data is protected through multiple layers of encryption. Data at rest is automatically secured using storage encryption, while all communications between services utilize TLS/SSL protocols to safeguard data in transit. These industry-standard security measures ensure your information remains protected throughout the entire data pipeline journey.
Enterprise-Ready Integration
Seamlessly integrate with your existing data workflows and Google Cloud infrastructure. The tool is designed to work alongside your current systems, providing a reliable bridge between your CSV data sources and BigQuery analytics environment.
Robust Error Management
Built with reliability in mind, our tool implements comprehensive error handling with automatic retries and verification steps. It includes table recreation when necessary and ensures proper BigQuery consistency with grace periods after operations.
Scalable Performance
Designed to handle large datasets efficiently, our tool optimizes processing to maintain performance even with substantial data volumes, making it suitable for both small projects and enterprise-scale implementations.