data-quality-frameworks

Name: data-quality-frameworks
Author: sickn33

Sûr

使用驗證框架建構資料品質管線

Également disponible depuis: wshobson

透過 Great Expectations、dbt 測試和資料合約確保可靠的資料管線使用全面的驗證。減少資料事件並使用可投入生產的品質模式建立分析信任。

Prend en charge: Claude Codex Code(CC)

🥉 75 Bronze

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Tester

Utilisation de "data-quality-frameworks". Generate Great Expectations checkpoint for daily orders validation with Slack alerts

Résultat attendu:

Checkpoint configured with daily validation schedule
Actions: store results, update Data Docs, send Slack on failure
Webhook integration using SLACK_WEBHOOK environment variable
Run with: context.run_checkpoint(checkpoint_name='orders_checkpoint')

Utilisation de "data-quality-frameworks". Create data contract for user events with PII handling

Résultat attendu:

Contract defines user_id (UUID, required, unique)
email field marked as PII with indirect classification
Quality checks: row_count > 0, duplicate_count = 0
SLA: 99.9% availability, 1 hour freshness, 5 minute latency

Audit de sécurité

Sûr

v1 • 2/24/2026

This is a documentation-only skill providing markdown guides for data quality frameworks. All static analysis findings are false positives: code blocks are markdown examples not executable code, URLs are documentation references, and pattern matches on SQL terms are not actual system calls.

Fichiers analysés

617

Lignes analysées

résultats

Total des audits

Aucun problème de sécurité trouvé

Audité par: claude

Score de qualité

Architecture

100

Maintenabilité

Contenu

Communauté

100

Sécurité

100

Conformité aux spécifications

Ce que vous pouvez construire

建構 dbt 測試的分析工程師

為您的 dbt 模型建立全面的測試套件，包含欄位層級驗證、關係檢查和自訂業務規則。

建立合約的資料平台團隊

在資料生產者和消費者之間定義資料合約，包含明確的結構描述期望、品質 SLA 和所有權。

實作 Great Expectations 的資料品質負責人

部署企業級資料品質驗證，包含期望套件、檢查點和自動化報告儀表板。

Essayez ces prompts

基本欄位驗證

Create a Great Expectations suite for an orders table with order_id as primary key. Include expectations for not null, unique, and valid order status values (pending, processing, shipped, delivered, cancelled).

dbt 測試配置

Generate dbt schema.yml test configurations for a customer dimension table. Include unique and not_null tests for customer_id, accepted_values for status, and a relationship test to verify referential integrity.

資料合約規格

Design a data contract for order events streaming from an e-commerce platform. Include schema fields with types, PII classifications, quality checks using SodaCL syntax, and SLA definitions for freshness and availability.

自訂業務規則測試

Write a custom dbt test that validates order totals are consistent: subtotal + tax + shipping must equal total_amount within a 0.01 tolerance. Include the full macro and usage example.