Learning Path

Implementing a Data Lakehouse Architecture with Open Table Formats

Data Engineering Fundamentals → Comparative Analysis of Table Formats

16 Knowledge Nodes · 16 Learning Steps · v0 Active

This advanced learning path guides data engineers through the design and implementation of a data lakehouse using open table formats. It covers the evolution from data lakes to lakehouses, core table format concepts, and hands-on implementation with Delta Lake, Apache Iceberg, and Apache Hudi, including ACID transactions, schema evolution, time travel, and querying.

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Learning Route

16 learning steps · 4 phases. Click any step to inspect it and see it on the Knowledge Map.

Phase 1

Foundation

4 steps

Phase 2

Core Concepts

4 steps

Phase 3

Advanced Topics

4 steps

Phase 4

Specialization

4 steps