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Lakehouse Data Engineer

Build reliable Delta Lake pipelines with ingestion, quality, streaming, and Spark performance practices.

3 courses8 hoursData engineers

What you'll cover

  • Delta Lake Table Design for Reliable AI Data
  • Lakeflow and Structured Streaming Pipelines
  • Spark Performance for Data Teams
  • Delta foundations
  • Layout and quality
  • Ingestion patterns
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You can jump directly into any course or lesson in the path.

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Course Sequence

3 steps
1
Delta Lake Table Design for Reliable AI Data thumbnail
Step 1

Delta Lake Table Design for Reliable AI Data

Design Delta tables with transaction guarantees, schema controls, history, and file layout that support batch and streaming workloads.

2 hours2 modules4 lessonsProgress tracking available
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2
Lakeflow and Structured Streaming Pipelines thumbnail
Step 2

Lakeflow and Structured Streaming Pipelines

Build incremental ingestion pipelines with Auto Loader concepts, streaming tables, expectations, and operational handoffs.

2 hours2 modules4 lessonsProgress tracking available
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3
Spark Performance for Data Teams thumbnail
Step 3

Spark Performance for Data Teams

Tune Spark SQL and DataFrame workloads by reading plans, choosing partitions, and avoiding shuffle-heavy surprises.

2 hours2 modules4 lessonsProgress tracking available
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