749 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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All topics- Data Lakehouse201
- Apache Iceberg183
- Data Engineering180
- Dremio65
- AI Agents58
- developer tools35
- AI coding tools31
- agentic development31
- MCP29
- Databases28
- AI26
- Apache Polaris26
- Semantic Layer26
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Latest tutorials
Page 36 of 125- 01Snowflake Interoperable Lakehouse LessonsInteroperable lakehouse announcements matter when they change production contracts, not just import and export narratives.LakehouseJun 22, 2026
- 02Unity AI Gateway vs Apache Polaris Control PlanesThe right comparison is not vendor scoreboard. It is closed AI governance gateway versus open catalog control plane.LakehouseJun 22, 2026
- 03RAG Isn't the Problem : Policy as Code IsThe real bottleneck with enterprise AI isn't retrieval augmentation or model accuracy : it's governance. Policy-as-code (OPA, ABAC, Rego) lets you enforce access rules, column masks, and row filters on any data source at query time.semantic layerJun 15, 2026
- 04The Complete Guide to Agentic Coding Tools in 2026A deep dive into the four categories of agentic coding tools dominating 2026: CLI agents, desktop IDEs, 24/7 autonomous agents, and model routers. 40+ tools compared.AI & AgentsJun 08, 2026
- 05Agentic 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
- 06Anatomy 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