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. 01DataFusion Comet 1.0 and What Native Rust Scans Change for Spark on IcebergDataFusion Comet 1.0 replaces Spark Iceberg scans with native Rust. What speeds up, what still falls back to the JVM, and how to deploy it.
  2. 02Governance-as-Code for the Lakehouse: Managing REST Catalog RBAC and Masking in GitPut REST catalog RBAC and masking in Git. How to review grants, apply them safely, and keep lakehouse access from drifting.
  3. 03Multi-Cloud REST Catalog Topologies: Running Apache Polaris Across AWS, Azure, and GCPPolaris can catalog Iceberg tables across AWS, Azure, and GCP. Four topologies, credential vending, and the tradeoffs of each design.
  4. 04High-Throughput Branch Merging: Automating Concurrency and Conflict Resolution in Multi-Branch Iceberg PipelinesHigh-throughput Iceberg branch merges need conflict detection and automation. How to reconcile concurrent writes without stalling pipelines.
  5. 05Metric Contracts in Code: Testing, Versioning, and Serving Business Logic to Multi-Agent SystemsMetric contracts in code let teams test, version, and serve business logic to multi-agent systems without each agent inventing its own SQL.
  6. 06Query Routing at Machine Scale: Dynamic Workload Distribution Across Lakehouse EnginesRoute each lakehouse query by shape, not by sender. Signals, rules, and how to keep dashboards, batch jobs, and agents from sharing one engine.