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course: Apache Iceberg™️

Real Time Data with Tableflow

9 min
Untitled design (21)

Tim Berglund

VP Developer Relations

dan-weston

Dan Weston

Senior Curriculum Developer

In this final module, Tim shows how Confluent’s Tableflow turns Kafka topics into Apache Iceberg tables with exactly-once delivery, automatic compaction, and fresh data in your lakehouse. Tableflow unifies streaming and analytics on the same dataset, making it possible to support real-time and AI-driven workloads from a single source of truth.

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Total 20

  1. Introduction
    2 min
  2. Architecture and Concepts
    9 min
  3. Catalog
    6 min
  4. Hands-on Exercise: Catalog
  5. ACID Transactions
    13 min
  6. Updates and Deletes
    15 min
  7. Data Types and Schema Evolution
    13 min
  8. Hands-on Exercise: Schema Evolution
  9. Partitioning and Partition Evolution
    11 min
  10. Hands-on Exercise: Partitioning
  11. Clustering
    6 min
  12. Time Travel and Rollback
    10 min
  13. Hands-On Exercise: Time Travel
  14. Tagging and Branching
    15 min
  15. Hands-On Exercise: Tagging and Branching
  16. Metadata Tables
    10 min
  17. Table Maintenance
    12 min
  18. Hands-On Exercise: Table Maintenance
  19. Query Engines and Ecosystem
    5 min
  20. Real Time Data with Tableflow
    9 min

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