multi-source-data-merger
CommunityMerge diverse data sources seamlessly.
Data & Analytics#ETL#conflict resolution#data integration#data wrangling#schema mapping#data merging
AuthorZurybr
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This skill tackles the complex challenge of combining data from various file formats (CSV, JSON, Parquet, XML, etc.) into a single, unified dataset, while intelligently handling and reporting data conflicts.
Core Features & Use Cases
- Heterogeneous Data Ingestion: Reads and processes data from multiple, disparate file types.
- Schema Mapping: Facilitates mapping fields between different source schemas to a common canonical schema.
- Conflict Detection & Resolution: Identifies discrepancies in data across sources for the same record and applies defined priority rules to resolve them.
- Use Case: Merging customer data from a CRM (CSV), order history (JSON), and product usage logs (Parquet) into a unified customer profile, ensuring the most up-to-date information is retained based on source priority.
Quick Start
Use the multi-source-data-merger skill to combine data from 'customers.csv', 'orders.json', and 'usage.parquet' into a unified dataset, prioritizing 'customers.csv' in case of conflicts.
Dependency Matrix
Required Modules
pandaspyarrowopenpyxlxmltodict
Components
references
💻 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-merger Download link: https://github.com/Zurybr/lefarma-skills/archive/main.zip#multi-source-data-merger Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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