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❄️ Case Studies – Snowflake

This repository contains hands-on case studies, exercises, and reference materials developed while following different courses and learning paths.

The goal is to strengthen practical knowledge of Snowflake by working through real-world scenarios involving data ingestion, transformation, and analysis.

🎯 Objectives

  • Practice Snowflake
  • Work with curated datasets
  • Improve SQL and data modeling skills
  • Explore data pipelines and transformations
  • Build a portfolio of case studies

🧠 Topics Covered

  • Snowflake architecture (databases, schemas, warehouses)
  • Data loading and staging
  • SQL transformations
  • Analytical queries
  • Performance considerations
  • Basic data engineering workflows

⚙️ Technologies Used

  • Snowflake
  • SQL
  • Git & GitHub
  • (Optional) Python / Snowpark

🚀 How to Use

  1. Clone the repository:
    git clone https://github.com/nathanyalmeida/case-studies-snowflake.git
  2. Open your preferred environment:
  • Snowflake Worksheets
  • VS Code
  • DBeaver
  1. Run the SQL scripts step by step
  2. Explore the exercises and adapt them to your own datasets

About

Snowflake case studies and hands-on exercises based on LinkedIn Learning path, covering data modeling, SQL, and real-world analytics scenarios.

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