Скачать или смотреть ETL - ELT | Understanding Data Pipelines, Upstream, and Downstream | Core Data Engineering Concepts

In this video, we break down one of the most important concepts in data engineering — ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform).
This is a non-technical, beginner-friendly explanation to help you truly understand the process and flow of data before we dive into hands-on GCP work!

👉 What You'll Learn:

What is ETL and how it works

What is ELT and when it is used

Real-world examples of ETL and ELT workflows

The meaning of upstream and downstream in data pipelines

What exactly is a data pipeline and why it’s the backbone of data engineering

Key differences between traditional and modern data flow models

🎯 Why This is Important:
Grasping ETL, ELT, upstream, and downstream concepts will set a strong foundation for building efficient, reliable, and scalable data systems — especially on platforms like GCP!

🛠️ Topics Covered:

How data moves from source to destination

Logical flow of data processing

Role of each stage in building data-driven applications

How GCP services later help automate these processes (coming soon!)

🚀 This is part of the GCP Data Engineering Bootcamp series, designed to take you from basics to pro step-by-step!

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