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clickzetta-lakehouse-connect

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Connect to ClickZetta Lakehouse with SDKs.

Data & Analytics#sdk#sqlalchemy#lakehouse#connect#zettapark#clickzetta
Authoryunqiqiliang
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill provides a unified, end-to-end guide to connect to ClickZetta Lakehouse using Python SDK, ZettaPark, SQLAlchemy, and JDBC, enabling developers to initialize working connections and perform queries without hunting through disparate docs.

Core Features & Use Cases

  • Python SDK: use clickzetta.connect() to establish a connection and execute SQL
  • ZettaPark Session: leverage DataFrame API for ETL-style transformations
  • SQLAlchemy / JDBC: enable ORM or JDBC-based BI integrations
  • Use Case: connect to a Lakehouse instance, list schemas and tables, and run example queries across different clients

Quick Start

Use the Lakehouse connect guide to connect with Python SDK, ZettaPark, SQLAlchemy, or JDBC and run a basic query.

Dependency Matrix

Required Modules

None required

Components

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: clickzetta-lakehouse-connect
Download link: https://github.com/yunqiqiliang/clickzetta-skills/archive/main.zip#clickzetta-lakehouse-connect

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