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. 01How Apache Polaris Plans to Share Iceberg Tables Across OrganizationsApache Polaris's Open Sharing proposal adds first-class shares, external consumers, and listings so any Iceberg REST engine can read shared tables.
  2. 02Keeping Lakehouse Traffic Off the Public Internet With Apache PolarisA private Polaris lakehouse still leaks data if the storage hop goes public. How to bind vended credentials to private networks on AWS, Azure, and GCP.
  3. 03Vector Search Directly Over Iceberg Tables, and When You Still Need a Vector DatabaseEmbeddings are just columns. When exact vector search over Iceberg scans beats a vector database, when it does not, and how to lay out tables.
  4. 04Agentic Data ArchitectureA six-layer reference architecture for agents on company data: planners, tool boundaries, identity, the semantic layer, and what breaks when a layer is missing.
  5. 05Running Apache Polaris in ProductionApache Polaris past the quickstart: persistence backends, realm bootstrap, replica token signing, upgrades, backups, and which failures take the lakehouse offline.
  6. 06What the 2026 Consolidation Means for Open FormatsTabular, Dremio, and a wave of data platform acquisitions: what changes for teams building on open formats and which guarantees survive a change of ownership.