Verify Data Consistency in Every File Format
Ensure structured and semi-structured flat files like CSV, JSON, and XML maintain accuracy before integration into your data ecosystem. Automate validation for schema, missing values, and duplicates
Validates Multi-Format Files
Supports CSV, XML, JSON, and more, ensuring structure and integrity before ingestion
Catches Missing & Corrupt Data
Identifies incomplete or malformed records before loading into the pipeline
Reduces Manual Inspections
Automates file integrity checks, saving hours of review time
Improves Data Consistency
Standardizes file formats to avoid downstream processing failures
Comprehensive Flat File Ingestion & Validation
Vexdata supports testing of flat files in various formats, including CSV, TXT, and fixed-width files, from any storage source like cloud, network drives, and SFTP. Our solution ensures seamless ingestion and validation of structured and semi-structured data
Automated Schema & Column Name Verification
Flat files often contain inconsistent or unexpected column names, leading to ingestion failures. Vexdata automatically validates column structures, corrects naming discrepancies, and ensures alignment with predefined data contracts
Data Quality Rule Enforcement & Special Character Cleansing
Flat file data can contain special characters, incorrect formats, or uncleaned inputs that impact processing. Vexdata automatically detects and cleans special characters, while applying predefined data quality rules to maintain consistency
Key Features
Lookup-Based Accuracy Validation
Ensuring data accuracy requires validation against trusted sources. Vexdata can join flat file data with lookup tables in databases to validate correctness, detect mismatches, and prevent incorrect entries from entering the pipeline
Configurable Bad Data Highlighting & Email Notifications
Users can configure bad data detection rules, and our system will highlight problematic columns with color coding for easy identification. Additionally, automated email notifications alert users about detected data quality issues, ensuring timely corrections
Good/Bad Data Segmentation for Clean Data Processing
Vexdata allows users to define expected output formats, automatically categorizing clean and problematic data. When errors cannot be fixed automatically, our system splits datasets into “Good” and “Bad” records, enabling users to process only validated, high-quality data while reviewing flagged issues separately