open table format

1. June 8, 202614 min read

   Lakehouse Context Layers with Atlan and Iceberg v3

   Lakehouse context layers bridge the gap between raw Iceberg tables and AI agents that need business meaning.

2. June 8, 202614 min read

   Goal-Directed Analytics Agents on Apache Iceberg

   How goal-directed analytics agents decompose business questions into sub-tasks, execute action loops over Apache Iceberg tables, and use the lakehouse.

3. June 8, 202614 min read

   Iceberg Remote Signing for Regulated Datasets

   Iceberg REST catalog remote signing provides per-file pre-signed URL access for regulated datasets.

4. June 8, 202614 min read

   Apache Iceberg v3 Deletion Vectors on Snowflake

   Apache Iceberg v3 deletion vectors replace positional delete files with binary bitmaps in Puffin files, delivering up to 10x faster DML on Snowflake.

5. June 8, 202615 min read

   CDC Without Complexity Using Iceberg v3 Row Lineage

   Iceberg v3 row lineage adds _row_id and _last_updated_sequence_number to every table, enabling native change data capture without Debezium or Kafka.

6. June 8, 202614 min read

   The 2026 Guide to Iceberg View Federation

   Iceberg views standardize SQL view definitions across engines, enabling view federation across Polaris, Nessie, and Gravitino catalogs.

7. June 8, 202614 min read

   Modern Python Tooling for Apache Iceberg

   PyIceberg, IceFrame, and the Iceberg CLI form a complete Python toolchain for Iceberg table management.

8. June 8, 202614 min read

   Bidirectional Iceberg Writes with Horizon Catalog

   Snowflake Horizon Catalog enables bidirectional Iceberg writes from external engines like Spark and Trino, powered by Apache Polaris.

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