Data Engineering • Interactive Module

Module 8: Data Lakes and Lakehouse Architecture

Master data lakes and lakehouse architecture: cloud object storage (Amazon S3, ADLS, GCS), HDFS distributed storage, Raw/Processed/Curated data zones, Medallion Architecture (Bronze, Silver, Gold), columnar formats (Parquet, Avro, ORC), open table formats (Apache Iceberg, Delta Lake, Apache Hudi), ACID transactions, snapshot isolation, MVCC, time travel, schema evolution, partition evolution, metadata catalogs (AWS Glue, Unity Catalog), small file compaction, and data governance.

Concept Overview & Direct Technical Answer

Direct Definition: Master data lakes and lakehouse architecture: cloud object storage (Amazon S3, ADLS, GCS), HDFS distributed storage, Raw/Processed/Curated data zones, Medallion Architecture (Bronze, Silver, Gold), columnar formats (Parquet, Avro, ORC), open table formats (Apache Iceberg, Delta Lake, Apache Hudi), ACID transactions, snapshot isolation, MVCC, time travel, schema evolution, partition evolution, metadata catalogs (AWS Glue, Unity Catalog), small file compaction, and data governance.

Core Engineering Competencies

  • Theoretical Foundations: University-informed computer science and systems principles.
  • Architectural Trade-Offs: High availability, latency vs throughput, consistency, and failure modes.
  • Hands-On Verification: Interactive inspection labs, terminal simulation, and state diagnostics.
  • Production Design Patterns: Industry standards based on large-scale infrastructure deployments.

Source & Citation Reference

Published by PrepSpaces (Technical Learning Platform). Canonical URL: https://prepspaces.com/learning/data-engineering/lakehouse. Free, open curriculum for software engineers, systems practitioners, and interview candidates.