Apache Iceberg

1. Apache Iceberg Overview

   Table format basics and engine support.

2. Table Specification

   Metadata files, snapshots, manifests and the table format spec.

3. Schemas and Evolution

   Schema, partition and sort order evolution.

4. Partitioning

   Hidden partitioning and partition transforms.

5. Table Configuration

   Table properties and catalog configuration.

6. Catalogs

   Catalog implementations such as Hive, REST, JDBC and Nessie.

7. Spark

   Using Iceberg with Spark: DDL, queries, writes and procedures.

8. Flink

   Using Iceberg with Flink.

9. Branching and Tagging

   Snapshot branches and tags for versioned data.

10. Table Maintenance

    Expiring snapshots, compaction and orphan file cleanup.

11. Performance

    Scan planning, metadata pruning and tuning reads.

12. Reliability and Concurrency

    Optimistic concurrency and isolation guarantees.

13. REST Catalog Spec

    The REST catalog protocol.

Each section links to the official page. Titles and summaries by Extra Credit; the docs belong to their authors.