1. Open Table Formats intermediate Multiple choice

    A team has 90 TB of Parquet in Hive-style date directories and wants Iceberg tables with no downtime for the 200 dashboards reading them. Which sequence is right?

    3 min answer icebergmigrationhivemetadata
  2. Open Table Formats advanced

    A team is choosing between Iceberg, Delta and Hudi for a new lakehouse. How would you approach the decision?

    1 min answer data-platformtable-formatlock-in
  3. Open Table Formats advanced

    An Iceberg lakehouse on object storage is healthy. Then the storage service starts serving reads at about four times its usual latency with no errors at all. Nothing is down. Walk through what happens over the next ten minutes and what stops it.

    3 min answer icebergmetadataslow dependencyretry storm
  4. Open Table Formats advanced

    An organisation is consolidating a warehouse and a lake onto open table formats. What guarantees do ACID-on-object-storage tables provide, where do small files and compaction bite, and how are streaming and batch writers coordinated?

    3 min answer databricksdelta-lakeicebergcompaction
  5. Open Table Formats advanced Multiple choice

    Which requirement most often forces an open table format over plain files in object storage?

    2 min answer table-formatsdeletestransactionsschema-evolution
  6. Open Table Formats beginner

    Your team already writes compressed Parquet files to object storage and queries them with a SQL engine. An engineer proposes moving the same files to Iceberg. The bytes on disk barely change, so what does the table format actually add?

    2 min answer icebergparquettable-formatmetadata