Modern Data Architecture & Lakehouse Engineering
About this course
This comprehensive specialization equips data professionals with the skills to design, build, and optimize modern cloud data platforms that combine the flexibility of data lakes with the reliability of data warehouses. Through 13 hands-on courses, you'll learn to provision secure cloud infrastructure using Infrastructure as Code, implement lakehouse architectures with transactional integrity, build automated data pipelines using Spark, dbt, and Airflow, and optimize performance across storage and query layers. You'll also develop expertise in data security, compliance frameworks, disaster recovery planning, and enterprise-grade data reconciliation—emerging with the complete skillset to architect production-ready data systems that deliver measurable ROI.
63/100
CourseAsk score
- What the provider tells you
- 39/45
- Who stands behind it
- 8/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- provision secure cloud infrastructure using Infrastructure as Code
- implement lakehouse architectures with transactional integrity
- build automated data pipelines with Spark, dbt, and Airflow
- optimize performance across storage and query layers
- develop expertise in data security and compliance frameworks
Course objectives
- equip data professionals with the skills to design cloud data platforms
- ensure participants can architect production-ready data systems
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