Alex Merced Tutorialshandbook

775 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. 01High-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.Apache IcebergAug 25, 2026
  2. 02Multi-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.Apache IcebergAug 25, 2026
  3. 03Parquet-Only Manifests in Iceberg v4: Why the Metadata Layer Is Going ColumnarIceberg v4 is moving manifests from Avro to Parquet so planners can read only the stats they need. Why the metadata layer is going columnar.Apache IcebergAug 25, 2026
  4. 04Query 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.Data EngineeringAug 25, 2026
  5. 05Semantic Layer Federation: One Logical Model Over Data on Three CloudsOne logical model over Iceberg and databases on three clouds. Pushdown, egress, Reflections, and where semantic federation still breaks.Semantic LayerAug 25, 2026
  6. 06Serverless Iceberg Ingestion with PyIceberg and DuckDB: Micro-Batches Without a Spark ClusterLand small Iceberg micro-batches with PyIceberg and DuckDB in a serverless function. Commits, concurrency, and why Spark is the wrong default.Apache IcebergAug 25, 2026