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Hands-on learning material for Snowflake Data Engineering, covering ingestion, transformation, optimization, and best practices.

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prince2k5/snowflake-data-engineering

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Intro to Snowflake for Developers, Data Scientists & Data Engineers

This repository provides hands-on examples, notes, and sample workflows to introduce Snowflake to technical audiences, including developers, data scientists, and data engineers.

The goal of this repository is to provide a practical, easy-to-follow starting point for understanding how Snowflake works and how it can be used for modern data workloads.


πŸ§‘β€πŸ’» Who This Repository Is For

Developers

  • Learn how to query Snowflake using SQL
  • Understand how Snowflake fits into application architectures
  • Get familiar with performance and cost basics

Data Engineers

  • Learn data loading techniques (COPY INTO, stages)
  • Understand warehouse sizing and scaling
  • Explore best practices for pipelines and transformations

Data Scientists

  • Learn how to access and explore large datasets
  • Understand how Snowflake supports analytical workloads
  • Prepare data efficiently for modeling and analysis

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Hands-on learning material for Snowflake Data Engineering, covering ingestion, transformation, optimization, and best practices.

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  • PLpgSQL 77.8%
  • Python 11.7%
  • Jupyter Notebook 10.5%