databricks-serverless-migration
OfficialMigrate Databricks workloads to serverless compute with ease.
Authormkgs-databricks-demos
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps users migrate their Databricks workloads from classic compute to serverless compute, simplifying the process and ensuring compatibility.
Core Features & Use Cases
- Compatibility Analysis: Analyze existing Databricks code for serverless compute compatibility.
- Migration Guidance: Provide step-by-step guidance for migrating notebooks, jobs, and pipelines to serverless compute.
- Workload Analysis: Identify and address migration blockers, such as RDD usage, DBFS paths, and Spark configurations.
- Use Case: Imagine you have a large-scale data processing pipeline running on a classic cluster. Use this Skill to analyze and migrate the pipeline to serverless compute, improving performance and reducing costs.
Quick Start
Use the databricks-serverless-migration skill to analyze the compatibility of your Databricks notebook 'my_pipeline notebooks/my_pipeline.ipynb'.
Dependency Matrix
Required Modules
databricks-cli
Components
scriptsreferences
💻 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-serverless-migration Download link: https://github.com/mkgs-databricks-demos/aiSkillUpdater/archive/main.zip#databricks-serverless-migration Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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