spark-declarative-pipelines
CommunityBuild and manage Databricks data pipelines.
AuthorLaurentPRAT-DB
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates the creation, configuration, and management of Databricks Lakeflow Spark Declarative Pipelines (SDP/LDP), enabling efficient data ingestion, transformation, and CDC/SCD implementation.
Core Features & Use Cases
- Pipeline Orchestration: Create and update pipelines using SQL or Python.
- Data Ingestion: Supports Auto Loader, Kafka, Event Hubs, and Kinesis.
- Change Data Capture: Implements SCD Type 1 and Type 2 using AUTO CDC.
- Use Case: Set up a new streaming pipeline to ingest real-time sensor data from Kafka, clean and deduplicate it, and store historical changes in a Slowly Changing Dimension table for analytics.
Quick Start
Use the spark-declarative-pipelines skill to initialize a new SQL pipeline project for Databricks.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 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/LaurentPRAT-DB/LPT_claude_config/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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