775 tutorials · free to read

A working handbook for data and software engineering.

Hands-on tutorials by Alex Merced on Apache Iceberg, the data lakehouse, pipelines, agentic AI, and the languages and tools that hold it all together.

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  1. 01Goal-Directed Analytics Agents on Apache IcebergHow goal-directed analytics agents decompose business questions into sub-tasks, execute action loops over Apache Iceberg tables, and use the lakehouse as both a data source and a state store for agent action logs.
  2. 02Iceberg Remote Signing for Regulated DatasetsIceberg REST catalog remote signing provides per-file pre-signed URL access for regulated datasets. How it differs from credential vending, audit trail capabilities, and Snowflake implementation for PII/compliance workloads.
  3. 03Apache Iceberg v3 Deletion Vectors on SnowflakeApache Iceberg v3 deletion vectors replace positional delete files with binary bitmaps in Puffin files, delivering up to 10x faster DML on Snowflake. Deep dive into architecture, benchmarks, and migration.
  4. 04CDC Without Complexity Using Iceberg v3 Row LineageIceberg v3 row lineage adds _row_id and _last_updated_sequence_number to every table, enabling native change data capture without Debezium or Kafka. Technical deep dive with Snowflake and Databricks examples.
  5. 05The 2026 Guide to Iceberg View FederationIceberg views standardize SQL view definitions across engines, enabling view federation across Polaris, Nessie, and Gravitino catalogs. How Snowflake Horizon, Databricks Unity Catalog, and open source catalogs handle portable SQL.
  6. 06Microsoft Fabric Build 2026 Agentic Analytics StackMicrosoft Build 2026 revealed an agentic analytics stack built on Fabric IQ, OneLake Iceberg support, and semantic models. The architecture shows how Microsoft competes with open lakehouse platforms.