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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

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

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

We cover different types of pipelines including batch ingestion, file ingestion, lakehouse processing, gold analytics layers, analytics marts, and streaming concepts.

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.

Technologies covered:

Storage &amp; Data Lake 
Azure Data Lake Storage Gen2 
Delta Lake 
Parquet

Data Warehouse &amp; Analytics 
Azure Synapse Analytics 
Synapse Serverless SQL 
Synapse Dedicated SQL Pool

Ingestion &amp; Orchestration 
Azure Data Factory 
Self-hosted Integration Runtime 
ADF Triggers

Processing &amp; Lakehouse 
Azure Databricks 
Databricks Jobs 
Databricks Workflows

Transformation &amp; Modeling 
dbt 
dbt-synapse 
Staging, Serving, and BI Marts

Security &amp; Access 
Azure Key Vault 
Managed Identity 
Azure IAM / RBAC
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Azure Data Engineer

Move beyond tools. Build data pipelines end to end

Azure Data Engineer

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