Alex Merced Tutorialshandbook

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. 01Why 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.Agentic LakehouseMay 28, 2026
  2. 02The Era of Zero-ETL Federation: Fueling AI Agents with Real-Time Cross-Enterprise DataZero-ETL federation lets AI agents join real-time CRM data with historical lakehouse tables instantly. Learn the architecture, tradeoffs, and how Dremio enables it.Agentic LakehouseMay 28, 2026
  3. 03Use Hermes Agent for Free With DeepSeek V4 and SlackHermes Agent is a free, open-source AI agent from Nous Research. Connect it to DeepSeek V4 for zero-cost inference and Slack for anywhere access. Here is how to set it up in 10 minutes.AI Tools & Software DevelopmentMay 25, 2026
  4. 04Automating Table Maintenance Before Small Files AccumulateLearn how Databricks Predictive Optimization, AWS S3 Tables, and Iceberg native actions automate compaction and snapshot management before small files degrade performance.Data LakehouseMay 24, 2026
  5. 05Choosing the Right Iceberg Control Plane: Polaris vs. Unity Catalog vs. Cloud RESTChoosing an Apache Iceberg catalog? Compare open-source Apache Polaris, open Unity Catalog, and managed cloud REST control planes to unify your lakehouse.Apache IcebergMay 24, 2026
  6. 06Clean Rooms for Privacy-Preserving AnalyticsData clean rooms enable secure multi-party analytics without sharing raw data. Learn how Databricks Clean Rooms, AWS Clean Rooms, and BigQuery differential privacy work.Data LakehouseMay 24, 2026