Section outline

• Select section Day 1: Iceberg Foundations

  Day 1: Iceberg Foundations

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  • Iceberg vs Hive, Delta, Hudi: benefits and architecture

  • Table structure: snapshots, manifests, schema evolution

  • Setup: Iceberg with Spark, Flink, Trino, Hive Metastore, Glue, Nessie

  • Lab: CRUD on Iceberg tables, metadata inspection
• Select section Day 2: Optimization & Metadata Management

  Day 2: Optimization & Metadata Management

  • Partition evolution, time travel, snapshot expiration

  • Performance tuning: file pruning, compaction, predicate pushdown

  • Merge-on-read vs copy-on-write

  • Lab: Optimize Iceberg tables, snapshot rollback, S3/GCP/Azure integration
• Select section Day 3: Streaming, Security, and Production Deployment

  Day 3: Streaming, Security, and Production Deployment

  • Flink & Spark streaming ingestion, upserts, CDC

  • Apache Ranger: row-level security, encryption, masking

  • Lab: Kafka → Flink → Iceberg → Trino pipeline

  • Capstone: Migrating from Hive to Iceberg; deployment best practices

  • Quiz and certification