GitHub
delta-live-tables
Delta Live Tables (DLT) pipeline patterns and examples for building declarative, self-healing data pipelines with automatic quality enforcement and lineage tracking.
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Skills indexés
12Étoiles des dépôts des skills indexés
24Forks du dépôt
0Moyenne des étoiles par skill indexé
2Les étoiles d’un dépôt peuvent se répéter entre ses skills.
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GitHub
databricks-asset-bundles
Modern deployment with Databricks Asset Bundles (DAB), supporting multi-environment configurations and CI/CD integration.
GitHub
medallion-architecture
Bronze/Silver/Gold layer design patterns and templates for building scalable data lakehouse architectures. Includes incremental processing, data quality checks, and optimization strategies.
GitHub
unity-catalog-governance
Unity Catalog governance patterns, permissions models, security best practices, and policy enforcement for enterprise data governance.
GitHub
data-classification
Data classification strategies, tagging frameworks, sensitivity levels, and automated classification patterns for Unity Catalog.
GitHub
access-management
RBAC/ABAC implementation patterns, least privilege access, row-level security, column masking, and access review workflows.
GitHub
data-products
Data product design patterns with contracts, SLAs, and governance for building self-serve data platforms using Data Mesh principles.
GitHub
delta-sharing
Delta Sharing configuration, monitoring, and recipient management for secure cross-organization data sharing.
GitHub
data-quality
Comprehensive data quality patterns using Great Expectations, DLT expectations, and custom validators for ensuring data reliability and trust.
GitHub
compliance-automation
Automated compliance checks, continuous monitoring, reporting frameworks for GDPR, HIPAA, SOC2, and CCPA compliance.
GitHub
testing-patterns
pytest fixtures and integration testing patterns for Spark applications, including DataFrame assertions and mock data generation.
GitHub
cicd-workflows
GitHub Actions and CI/CD patterns for Databricks, including automated testing, deployment, and quality gates.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.