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Azure Data Engineering

data0to1.com

Learn how production-style data engineering systems and pipelines are designed, built, and explored across modern cloud and data platforms.

Data0to1 | Real-World Data Engineering

This course focuses on how data pipelines are actually built in real-world GCP projects.

Instead of learning services in isolation, you will build pipelines step by step -&nbsp;starting from understanding the problem, designing the solution, and implementing it.

We cover different types of pipelines including batch ingestion, file ingestion, streaming, and analytics layers.

Each pipeline follows a simple structure:

Pipeline Contract 
(what problem it solves)

Design Notes 
(how it is designed)

Setup 
(what is required to run it)

Implementation 
(building and running it)

Exploration 
(real-world variations and extensions)

The goal is to help you think like a data engineer and understand how systems are built in production.

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Technologies covered:

Storage &amp; Data Warehouse 
Google Cloud Storage (GCS) 
BigQuery 
BigQuery ML

Ingestion &amp; Processing 
Cloud SQL (for ingestion scenarios) 
Dataflow

Streaming 
Pub/Sub

Orchestration &amp; Transformation 
Cloud Composer (Airflow) 
dbt

Compute 
Cloud Run Jobs

GCP Data Engineer

Move beyond tools. Build data pipelines end to end

GCP Data Engineer

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