Reltio Entity Resolution
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**Overview** Eliminate duplicate records—without moving data out of your lakehouse. Reltio Entity Resolution in Databricks is an enterprise-grade, AI-powered solution for scalable entity resolution natively within your Databricks environment. Purpose-built for organizations prioritizing governance, performance, and security, this solution uses advanced ML and NLP-based matching to identify duplicate records at scale—right where your data lives. **Ideal For** Organizations managing between 1M–10M individual records and seeking in-place data deduplication for AI, ML, analytics, or compliance use cases. **Use cases** - **Accelerate Machine Learning Model Accuracy** Problem: Duplicate and fragmented records inflate training datasets, introduce noise, and degrade model performance. Solution: Use Reltio’s ML-based entity resolution to deduplicate entities before training—reducing redundancy, improving input quality, and boosting model accuracy for use cases like recommendation systems, fraud detection, and predictive analytics. - **Create a Trusted 360° View of Individuals for Analytics** Problem: Scattered and incomplete individual records across data sources lead to unreliable customer insights and misinformed decisions. Solution: Deduplicate fragmented records directly in Databricks to build trusted, deduplicated profiles—fueling downstream dashboards, segmentation models, and business intelligence workflows with consistent data. - **Improve Compliance and Governance Without Moving Data** Problem: Manual or external deduplication workflows force sensitive data out of Databricks, creating compliance risks and governance gaps. Solution: Execute entity resolution natively in your Databricks environment—eliminating risky data movement and enabling full traceability, auditability, and policy enforcement through Unity Catalog integration. **Product details** **Key Benefits** - **Trusted data, no exports:** Resolve duplicates without extracting or copying sensitive data—preserving security, governance, and compliance. - **ML-powered matching:** Move beyond rule-based deduplication with intelligent models trained to handle messy, real-world data—including misspellings, nicknames, and transliterations. - **Fast, scalable, transparent:** Run batch resolution on millions of records with match confidence scores. - **Fully native**: Runs entirely on your Databricks compute. Integrates with Delta Lake, Unity Catalog, and Databricks SQL. No vendor lock-in. Learn More: [Reltio](https://www.reltio.com/)




