795 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. 01The Rise of Agentic Analytics: Shifting BI from Passive Dashboards to Goal-Directed ActionAgentic analytics replaces static dashboards with AI agents that pursue business goals autonomously. Learn what changed, why it matters, and what the shift requires.
  2. 02Evaluating the TCO of an Open Lakehouse vs. Proprietary Data WarehousesOpen lakehouse vs proprietary warehouse: a comprehensive TCO breakdown covering storage, compute, engineering, and hidden costs to help you make the right decision.
  3. 03The Semantic Layer as a Translation Engine: Bridging Natural Language and SQLThe semantic layer translates business language into accurate SQL for AI agents. Learn how virtual datasets, metric definitions, and wikis power agentic analytics accuracy.
  4. 04Trustworthy AI in the Agentic Lakehouse: Reconciling Concurrency and Isolation ContractsHundreds of AI agents querying simultaneously create concurrency and isolation problems. Learn how Iceberg OCC, Dremio FGAC, and guardrail policies ensure trustworthy AI in the lakehouse.
  5. 05Comparing the Top 2026 Agentic Analytics Tools: ThoughtSpot, Databricks, and TableauHow do ThoughtSpot, Databricks, and Tableau compare as agentic analytics platforms in 2026? A breakdown of semantic depth, agent capabilities, and where Dremio fits.
  6. 06Why Traditional Lakehouses Fail AI Agents: The Mathematical Case for the Agentic LakehouseTraditional lakehouses expose raw directories and ambiguous schemas to AI agents, causing hallucination. Here's the mathematical case for why this fails and what fixes it.