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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Page 17 of 130
  1. 01The Five Layers of an Agentic Lakehouse and Where the MCP Server SitsThe five layers of an agentic lakehouse and where the MCP server sits: storage, catalog, semantic layer, MCP gateway, and agent surface, plus identity, session isolation, and budgets.
  2. 02Autonomous Table Optimization When Your Query Workload Stops Being PredictableAutonomous table optimization when query workloads stop being predictable: observing file layout and query patterns, scoring compaction work, adaptive sort order, and cost discipline.
  3. 03Building Apache Iceberg Lakehouses That Run Without an Internet ConnectionHow to build an Apache Iceberg lakehouse that runs fully offline: storage, catalog, compute, cross-zone transfer, compliance, and the failure modes that bite.
  4. 04Wiring Analytical Queries to Transactional APIs in Closed-Loop Decision AgentsWiring analytical queries to transactional APIs in closed-loop decision agents: conditional writes, sagas with compensations, decision records, and blast radius controls.
  5. 05Surviving Optimistic Commit Collisions When Hundreds of Agents Write to IcebergSurviving optimistic commit collisions when hundreds of agents write to Iceberg: which conflicts are real, commit buffers, partitioning, and the patterns that prevent commit storms.
  6. 06How Iceberg V3 Deletion Vectors Fixed Merge-on-Read for Streaming TablesHow Iceberg V3 deletion vectors replaced accumulating positional delete files and made merge-on-read viable for streaming and CDC tables.