Bidirectional Conversion
Structured ⇄ Semi-structured ⇄ Unstructured in one workflow.
SMARBRE represents the end-to-end workflow of data ingestion, transformation, and quality assurance.
Convert data structures, improve data quality, label classes, validate results, and export to multiple formats.
Structured ⇄ Semi-structured ⇄ Unstructured in one workflow.
Missing values, duplicates, normalization, standardization, and class labels.
Before/after charts, missing values, duplicates, and dataset statistics.
Admins can add safe JSON rule-based conversion and preprocessing methods.
Seven connected capabilities for consistent and auditable data pipelines.
Uniform formatting, data typing, and code-value normalization across disparate sources.
Schema, column, and relationship mapping between source structures and target destinations.
Automated data preparation workflows: cleansing, validation, and deduplication.
Post-conversion data matching and verification for count and value integrity.
High-volume, scheduled processing of large datasets for optimal performance.
Dashboards and logs showing conversion status, error rates, and quality metrics.
Initial process of pulling raw data from databases, APIs, and flat files.
represents the end-to-end workflow of data ingestion, transformation, and quality assurance.
Use SMARBRE to build consistent, measurable pipelines ready for analytics or machine learning.