682 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. 01Real-Time BI: Enabling Sub-Second Queries on Apache Iceberg Data LakehousesSub-second queries on Apache Iceberg are achievable with the right architecture. Learn how Reflections, C3 cache, and query acceleration close the BI latency gap.
  2. 02The 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.
  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. 04Comparing 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.
  5. 05Trustworthy 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.
  6. 06The 2026 Unified Data Architecture: Reconciling Multi-Cloud Data LakehousesMulti-cloud data lakehouses in 2026 run on Apache Iceberg, open catalogs, and zero-ETL federation. Here's what a composable, unified architecture looks like.