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Azure Data Engineer Course

Azure Data Engineer Course
4 to 360 hours flexible workload
valid certificate in your country

What will I learn?

The Azure Data Engineer Course provides practical skills to design and build a modern lakehouse on Azure, from logical modelling and Delta Lake optimisation to Spark-based transformations. You will learn ingestion patterns with Data Factory and Synapse, implement security, governance, and reliability, and tune performance and costs so your data platform remains scalable, trusted, and ready for analytics.

Elevify advantages

Develop skills

  • Design Azure lakehouse models: star schemas and bronze–silver–gold layers.
  • Build scalable Spark ETL: Delta Lake, schema evolution, and data quality checks.
  • Orchestrate Azure pipelines: ADF/Synapse, CDC, batch, and real-time flows.
  • Optimise cost and performance: autoscaling, partitioning, caching, and Z-ordering.
  • Secure and govern data: RBAC, encryption, row-level security, and lineage.

Suggested summary

Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

What our students say

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EmersonPolice Investigator
The course was essential to meet the expectations of my boss and the company I work for.
SilviaNurse
Great course. Lots of valuable information.
WiltonCivil Firefighter

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