Alex Merced Tutorialshandbook

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. 01Agentic Lakehouse Concurrency and IsolationHow Iceberg optimistic concurrency control, partition-level isolation, and idempotency keys enable safe concurrent writes from multiple AI agents to the same lakehouse tables.Apache IcebergJun 08, 2026
  2. 02Anatomy of an Agentic LakehouseThe four-layer architecture of the agentic lakehouse: object storage, Apache Iceberg table format, Apache Polaris catalog, and the semantic/agent layer. How each layer provides guarantees for AI agent access.Apache IcebergJun 08, 2026
  3. 03Apache Iceberg v4 Roadmap: Adaptive Metadata Trees, Single-File Commits, and the Delta ConvergenceA deep technical breakdown of Apache Iceberg v4's proposed architecture: adaptive metadata trees, one-file commits, relative paths, column families, and what the Delta 5.0 convergence actually means for your data platform.Apache IcebergJun 08, 2026
  4. 04Lakehouse Context Layers with Atlan and Iceberg v3Lakehouse context layers bridge the gap between raw Iceberg tables and AI agents that need business meaning. Atlan and Snowflake Horizon each take different approaches to the same problem.Apache IcebergJun 08, 2026
  5. 05Real-Time Agentic Analytics with ClickHouseClickHouse has become the leading real-time analytics engine for AI agent workloads, with event-loop architectures that let agents query and act at sub-second speeds.Data PlatformsJun 08, 2026
  6. 06Composable Analytics Beats Metric CatalogsMetric catalogs define what terms mean. Composable analytics defines how terms combine, transform, and relate. For AI agents, composability is what turns definitions into reasoning.Data ArchitectureJun 08, 2026