Data Engineering
Build dependable pipelines, analytical models, and data platforms that teams can trust.
22h 30m total·6 sections·30 topics
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Data Fundamentals
Build practical skill in data fundamentals.
3h 45m0/5
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Data formats and schemas
beginner45mLearn data formats and schemas and apply it in a production-minded design.
Subtopics (0/2)
Core concepts
Applied practice
Data formats and schemas — official documentationData formats and schemas — practical guideData formats and schemas — hands-on exercise
Storage layers
beginner45mData lifecycle management
beginner45mDistributed systems basics
beginner45mData contracts
beginner45m2
Batch Processing
Build practical skill in batch processing.
3h 45m0/5
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Extract load transform
beginner45mIncremental processing
beginner45mPartitioning and file layout
beginner45mBatch joins and aggregations
beginner45mBackfills and replay
beginner45m3
Streaming Systems
Build practical skill in streaming systems.
3h 45m0/5
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Event streaming concepts
intermediate45mTopics partitions and offsets
intermediate45mConsumer groups
intermediate45mStream processing windows
intermediate45mExactly once trade-offs
intermediate45m4
Warehouse & Modeling
Build practical skill in warehouse & modeling.
3h 45m0/5
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Warehouse architecture
intermediate45mDimensional models
intermediate45mFact and dimension tables
intermediate45mSlowly changing dimensions
intermediate45mSemantic layers
intermediate45m5
Orchestration & Quality
Build practical skill in orchestration & quality.
3h 45m0/5
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Workflow orchestration
advanced45mDependencies and scheduling
advanced45mData quality checks
advanced45mLineage and observability
advanced45mTesting data pipelines
advanced45m6
Analytics Platform
Build practical skill in analytics platform.
3h 45m0/5
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