Lakehouse Architecture
Lakehouse Architecture is a architecture concept in the Data Engineering pillar.
Lakehouse Architecture is a architecture concept in the Data Engineering pillar.
Analogy
Example
Find Gaps
Explain Lakehouse Architecture as if teaching a colleague who is new to architecture. Cover: what it is, how it works, and why it matters.
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Create a diagram that demonstrates Lakehouse Architecture in a real-world architecture scenario. Walk through your design decisions.
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A diagram for Lakehouse Architecture should include: 1. The core components of lakehouse architecture 2. How they interact 3. Expected outcomes or outputs
All 12 items
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Schema Registry Patterns: Avro, Protobuf, and JSON Schema in Production
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Delta Lake vs Apache Iceberg vs Apache Hudi: Lakehouse Format Shootout
Head-to-head comparison of the three major lakehouse storage formats: table mutation semantics, time travel, schema evol
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Change Data Capture with Debezium: connector configuration, schema evolution handling, initial snapshots, and integratio
Apache Iceberg Deep Dive: Table Formats for the Lakehouse Era
How Apache Iceberg enables ACID transactions on data lakes: partitioning, hidden partitioning, time travel, snapshot iso
Real-Time Streaming with Apache Kafka: From Pub/Sub to Event-Driven Architecture
Production patterns for Apache Kafka: topic design strategies, consumer group rebalancing, exactly-once semantics, Kafka
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Architecture patterns for building real-time AML surveillance data pipelines using Apache Kafka for transaction ingestio
Designing a Production Data Platform: From Requirements to Architecture
Master the full lifecycle of data platform design: requirements gathering, architecture methodology, a fintech case stud
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