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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Page 49 of 133
  1. 01The 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.
  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.
  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.
  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.
  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.
  6. 06Building Composable Query Engines with Rust RuntimesApache DataFusion, Velox, and Substrait form the foundation of modern composable query engine stacks. Learn how these components fit together and when to use each.