spark-declarative-pipelines
OfficialOrchestrate SDP pipelines on Databricks
Data & Analytics#serverless#medallion#cdc#databricks#scd type 2#auto loader#spark declarative pipelines
Authordatabricks-solutions
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This skill automates the creation, configuration, and updating of Databricks Lakeflow Spark Declarative Pipelines (SDP) using serverless compute. It enables teams to quickly stand up robust, scalable data pipelines with streaming sources, CDC, and modern medallion architectures.
Core Features & Use Cases
- Automated pipeline bootstrap: Create, configure, and update SDP/LDP workloads with serverless compute.
- Streaming and CDC support: Ingest streaming data, apply AUTO CDC for SCD Type 1/2, and manage materialized views.
- End-to-end medallion workflows: Support bronze/silver/gold patterns using Auto Loader and common ingestion patterns.
- Use Case: Rapidly spin up pipelines for real-time analytics dashboards and data platforms in Databricks.
Quick Start
Invoke the init flow to generate SDP project scaffolding and customize with transformation files.
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: spark-declarative-pipelines Download link: https://github.com/databricks-solutions/ai-dev-kit/archive/main.zip#spark-declarative-pipelines Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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