DATA-ENGINEERING
Lakehouse Architecture & Analytics
Design modern lakehouse architectures that unify data lake flexibility with data warehouse reliability.
Beginner → Intermediate
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·Live Online
·Certificate
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Course Intelligence
LevelBeginner → Intermediate
DurationContact us for schedule
DeliveryLive Online
LabsIncluded
CertificateIncluded
InstructorIndustry Expert
SupportPost-training
Course Details
What you'll learn
Why This Course
The lakehouse pattern (Delta Lake, Iceberg-style architectures) has become the standard for unifying analytics and ML workloads on one platform.
What You’ll Learn
- Lakehouse architecture principles
- Table formats (Delta, Iceberg concepts)
- Unifying batch and streaming data
- Analytics and ML workload support
Curriculum
- Lakehouse Architecture Concepts
- Modern Table Formats
- Batch & Streaming Unification
- Governance in the Lakehouse
- Analytics & ML Integration
- Capstone: Design a Lakehouse Platform
Who Should Attend
Data engineers and architects designing modern data platforms.
Prerequisites
Data warehousing and Spark fundamentals.
Hands-on Labs
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Practice what you learn.
Every course includes access to live lab environments for hands-on practice.
Related Courses
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Part Of A Larger Path
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This course is one stage in the Data Engineering Learning Path
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