A reusable, config-driven Databricks accelerator to detect schema drift, evaluate configurable data quality rules, quarantine failed records, score data quality, and publish clean Delta outputs inside Unity Catalog.
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Enterprise data pipelines often fail when source schemas change unexpectedly or when poor-quality rows move downstream without validation. Manual checks are difficult to scale across many tables, teams, and environments.
DataTheta’s Automated Data Quality & Schema Drift Framework helps teams run schema drift detection, configurable quality checks, quarantine workflows, scoring, and clean-table publishing natively inside Databricks and Unity Catalog. Teams only need to update configuration values, source tables, target schemas, and rule definitions in config.py.
AI systems in production
Avg. time to first outcome
Forecast accuracy improvement
Faster decision cycles
Revenue influenced by AI
Manual processing eliminated
Snapshot table schemas from Unity Catalog information_schema, compare them against stored baselines, and log schema changes before downstream layers are affected.
Define not-null, duplicate-key, range, and referential integrity checks in configuration so teams can extend rules without rewriting core pipeline logic.
Move failed records into per-table quarantine Delta tables so bad data is isolated before clean outputs are published downstream.
Calculate and log data quality scores to help teams monitor quality trends, rule failures, and table-level readiness over time.
Reuse the framework across teams and tables by changing only catalog names, schemas, registered tables, target tables, and rule definitions in config.py.
Explore reusable accelerators for data quality, schema monitoring, workflow observability, governance, reconciliation, and production-ready data engineering.
Use DataTheta’s Automated Data Quality & Schema Drift Framework to detect schema changes, validate source data, quarantine failed records, and publish trusted Delta outputs in Databricks and Unity Catalog.
DataTheta is an enterprise Data, Analytics, and AI consulting company that helps organizations build AI-ready data foundations through Data Engineering, Data Science, Business Intelligence, Data Warehousing, Generative AI, and On-Demand Experts.
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