Data Engineering on Microsoft Azure

Build job-ready Azure data engineering skills by learning data ingestion, transformation, storage, orchestration, and analytics pipelines.

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About This Azure Data Engineering Course

Azure Data Engineers help stakeholders understand the data through exploration, and they build and maintain secure and compliant data processing pipelines by using different tools and techniques. These professionals use various Azure data services and languages to store and produce cleansed and enhanced datasets for analysis

What You'll Learn

Azure cloud and data platform fundamentals
Azure Storage, Data Lake Storage, and data organization patterns
Azure Data Factory pipelines, triggers, linked services, and datasets
Azure SQL, Synapse Analytics concepts, and data warehousing basics
Spark and Databricks concepts for transformation workloads
Data ingestion, cleansing, orchestration, and monitoring workflows
Security, access control, secrets, and data governance basics
DP-203 aligned interview and certification preparation

Curriculum

Introduction to Azure Synapse Analytics
Describe Azure Databricks
Introduction to Azure Data Lake storage
Describe Delta Lake architecture
Work with data streams by using Azure Stream Analytics

Who This Is For

SQL developers, data analysts, BI professionals, ETL developers, cloud beginners, and IT professionals moving into Azure data engineering roles.

Career Outcomes

Azure Data Engineer

$100,000-$145,000/yr

Data Engineer

$95,000-$140,000/yr

ETL Developer

$85,000-$125,000/yr

Student Reviews

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Drug Safety Associate

Chicago, IL

4.8

Based on 299 reviews

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Frequently Asked Questions

Have questions before enrolling? Here are quick answers to what learners ask most often.

Basic cloud knowledge is helpful, but the course begins with Azure data platform fundamentals before moving into pipelines and services.

Yes. The modules include Azure data engineering concepts commonly aligned with DP-203 preparation and interview topics.

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