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Snowflake – E2E Data Engineering Project (Food Delivery App)

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Build an End-to-End Data Pipeline: Modeling, Automation & Data Ingestion with Snowflake

Welcome to “Snowflake – E2E Data Engineering Project (Food Delivery App)”!

What you’ll learn

  • End To End Data Engineering.
  • End To End Data Pipeline.
  • Food Aggregator.
  • Complete End To End Data Engineering.

Course Content

  • Food Delivery App – E2E Data Pipeline Using Snowflake –> 4 lectures • 14min.
  • Designing Data Pipelines: Architecture & ER Diagram Analysis for Food Aggregator –> 3 lectures • 12min.
  • [Optional] Snowflake Widely Used Native Objections –> 9 lectures • 1hr 2min.
  • Creating Data Pipeline With Food Aggergator’s Small Dataset –> 13 lectures • 1hr 47min.
  • Automated Data Pipeline & Orchestration –> 7 lectures • 57min.
  • Use Task & Task Tree To Automate Data Pipeline –> 2 lectures • 17min.
  • Large Volume Data Processing –> 2 lectures • 11min.
  • Continuous Data Ingestion Using GitHub –> 2 lectures • 12min.

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Requirements

Welcome to “Snowflake – E2E Data Engineering Project (Food Delivery App)”!

Are you ready to take your data engineering skills to the next level? This comprehensive course is designed to give you a hands-on, end-to-end experience with building and automating data pipelines using Snowflake, all while exploring the real-world use case of a food delivery app.

What You’ll Learn:

1. Problem Statement & Analysis:

  • Understand the challenges and requirements of data-driven food delivery platforms.
  • Dive into source system design and data analysis.

2. Data Flow Architecture:

  • Design an efficient, scalable data flow architecture.
  • Implement Snowflake-specific features like COPY commands, streams, and merge statements.

3. Data Modeling:

  • Create fact and dimension tables, including SCD Type 2 for historical tracking.

4. Handling Large Data Sets:

  • Load and process large datasets efficiently, demonstrating Snowflake’s performance capabilities.

5. Pipeline Automation:

  • Automate the entire pipeline using stored procedures, tasks, and task trees for seamless workflows.

6. Data Ingestion with GitHub Actions:

  • Learn how to ingest data dynamically using GitHub Actions for real-time updates.

 

Why Take This Course?

This course bridges the gap between theoretical concepts and practical applications, giving you the tools to:

  • Design robust data pipelines from scratch.
  • Leverage Snowflake’s advanced features for data modeling, ingestion, and processing.
  • Automate workflows for efficiency and scalability.By the end of the course, you’ll have a complete, production-ready data pipeline that mirrors the operations of a real-world food delivery business.

 

Whether you’re a data enthusiast, a budding data engineer, or an experienced professional looking to upskill, this course will provide you with valuable insights and practical expertise to excel in the world of data engineering.

 

Enroll today and take your data engineering journey to the next level!