databricks-lakebase-provisioned

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Managed PostgreSQL for OLTP on Databricks

AuthorAradhya0510
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill provides patterns and best practices for leveraging Databricks managed PostgreSQL (Lakebase Provisioned) for transactional workloads, simplifying OLTP operations within the Databricks ecosystem.

Core Features & Use Cases

  • Managed PostgreSQL: Fully managed, PostgreSQL-compatible database service.
  • OAuth Authentication: Secure token-based authentication integrated with Databricks.
  • Unity Catalog Integration: Register databases for enhanced governance and discoverability.
  • Reverse ETL: Sync data seamlessly from Delta Lake to Lakebase Provisioned.
  • Databricks Apps Support: First-class integration for building persistent state into Databricks applications.
  • Use Case: Store chat/agent memory for LangChain applications, add persistent state to Databricks Apps, or implement reverse ETL from Delta Lake to an operational database.

Quick Start

Create and connect to a Lakebase Provisioned instance using the Databricks SDK for Python.

Dependency Matrix

Required Modules

databricks-sdkpsycopgsqlalchemy

Components

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: databricks-lakebase-provisioned
Download link: https://github.com/Aradhya0510/databricks-cv-accelerator/archive/main.zip#databricks-lakebase-provisioned

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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