Synapse ETL Skill

Identify ETL logic, stored procedures, and data lineage in Synapse environments.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/guyman-tr/Databricks_Knowledge --skill synapse-etl-skill
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Synapse ETL Skill
Source: https://github.com/guyman-tr/Databricks_Knowledge/tree/main/knowledge/skills/_de_existing/synapse-etls
Command: npx skills add https://github.com/guyman-tr/Databricks_Knowledge --skill synapse-etl-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps users navigate and understand the ETL logic, stored procedures, and data lineage within Synapse, simplifying the exploration of data warehouse architecture.

Core Features & Use Cases

  • ETL Logic Exploration: Delve into ETL processes, stored procedures, and data transformations.
  • Data Lineage Tracking: Follow the flow of data from source to destination within the data warehouse.
  • Use Case: When a user needs to understand how a specific data point is being transformed or populated in a Synapse table, this Skill provides the necessary information to trace the data flow.

Quick Start

Use the Synapse ETL Skill to explore the ETL logic for the 'Dim_Customer' table in the Synapse environment.

Frequently Asked Questions about Synapse ETL Skill

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I trace data lineage for a specific table in a Synapse data warehouse?

To trace data lineage in a Synapse data warehouse, you can identify the underlying stored procedures and ETL logic to follow the data flow path from its source to the destination table.

What is the best way to understand stored procedures and ETL logic in Synapse?

Understanding stored procedures and ETL logic in Synapse involves exploring the data transformation processes and identifying the specific data flow paths that populate your data warehouse tables.

How does data transformation work within Synapse ETL processes?

Synapse ETL data transformation works by executing stored procedures that move and alter data from source to destination, allowing you to track the complete data lineage within the warehouse architecture.

Can I track data flow paths from source to destination without manual querying in Synapse?

Yes, you can track data flow paths from source to destination in Synapse by analyzing the ETL processes and stored procedures that define the data transformation and storage mechanisms.

Why do I need to analyze stored procedures when exploring a Synapse data warehouse?

You need to analyze stored procedures when exploring a Synapse data warehouse because they contain the ETL logic that defines how data is transformed, moved, and populated across tables.

Does this Skill work with specific data warehouse tables like Dim_Customer in Synapse?

Yes, this Skill works with specific tables like Dim_Customer in Synapse by exploring the ETL logic and tracing the data flow paths to show how the table is populated.