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validate-data

Official

Ensure data quality and schema accuracy.

Data & Analytics#data quality#data validation#data types#dlt pipeline#schema inspection#nested data
Authordlt-hub
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill addresses the need to verify that data loaded into a data warehouse or lakehouse conforms to expected schemas and quality standards, catching errors early in the data pipeline.

Core Features & Use Cases

  • Schema Inspection: Visualize and understand the structure of loaded tables using Mermaid diagrams.
  • Data Preview: Access sample data and row counts via the Workspace Dashboard for quick review.
  • Data Type Correction: Refine data types and handle nested structures using processing_steps for accurate data representation.
  • Use Case: After loading customer transaction data, use this Skill to check if currency fields are correctly parsed as decimals and if nested address information is appropriately handled.

Quick Start

Validate the data loaded by the 'customer_transactions' pipeline, focusing on potential issues with currency fields.

Dependency Matrix

Required Modules

None required

Components

scripts

💻 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: validate-data
Download link: https://github.com/dlt-hub/dlthub-ai-workbench/archive/main.zip#validate-data

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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