📺 Netflix Data Analysis with DBT

Welcome to the Netflix Data Analysis project, built using DBT (Data Build Tool).
This project demonstrates how to transform and analyze Netflix viewing data with modern data engineering practices.

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📌 Project Overview

This project shows how to:

• Build modular, reusable SQL models with DBT.
• Create a clear data lineage.
• Test and document your analytics pipeline.
• Generate business insights from raw Netflix data.

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Working Architecture

📂 Project Structure

├── models/                # DBT models (staging, intermediate, marts)
│   ├── staging/           # Raw data cleaned and staged
│   ├── intermediate/      # Business logic transformations
│   └── marts/             # Final models for analysis & reporting
├── snapshots/             # Data versioning (optional)
├── tests/                 # Custom data tests
├── macros/                # Custom Jinja macros
├── analyses/              # Ad-hoc analyses (if any)
├── dbt_project.yml        # DBT project configuration
└── README.md              # Project documentation

Tools

• Snowflake , DBT , VS Code , AWS(S3,IAM)