multi-source-data-conflation
CommunityUnify and reconcile data across sources.
Data & Analytics#ETL#real-time#data-quality#data-integration#entity-resolution#data-conflation#master-data-management
Authorsunnypatneedi
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Merge and reconcile data from disparate sources into a single, accurate master view. This skill helps eliminate duplicates, resolve conflicts, and provide consistent data for analytics and operations.
Core Features & Use Cases
- Entity resolution: identify and merge records representing the same real-world entity across source systems.
- Conflict resolution & survivorship: apply rules to choose authoritative values when sources disagree.
- Data quality & lineage: validate, cleanse, and trace data transformations to support governance.
- Schema normalization & real-time vs batch: harmonize diverse schemas and support both streaming and nightly ETL workflows.
Quick Start
Start a conflation workflow by defining sources, mapping fields to a master schema, and running the conflation pipeline to produce a master dataset.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: multi-source-data-conflation Download link: https://github.com/sunnypatneedi/claude-starter-kit/archive/main.zip#multi-source-data-conflation Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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