databricks-spark-declarative-pipelines
CommunityShip serverless SDP/LDP pipelines with ease.
Authoryasarkocyigit
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This skill helps teams configure and update Databricks Lakehouse SDP/LDP pipelines with serverless compute, enabling consistent deployment, governance, and easier maintenance across environments.
Core Features & Use Cases
- Automates creation, configuration, and updates of SDP/LDP pipelines using Databricks Asset Bundles and the modern Python API.
- Supports bronze/silver/gold medallion architecture, Auto Loader ingestion, CDC, and SCD Type 2 patterns, plus migration from DLT.
- Facilitates multi-environment deployments and governance with Unity Catalog, variable-driven configurations, and MCP tooling.
Quick Start
Initialize a new SDP project with serverless compute, set up multi-environment bundles, and deploy using the bundle workflow.
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: databricks-spark-declarative-pipelines Download link: https://github.com/yasarkocyigit/daq-databricks-dab/archive/main.zip#databricks-spark-declarative-pipelines Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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