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.
Follow an ordered learning track with prerequisites and checkpoints →
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Latest tutorials
Page 11 of 133- 01Parquet-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
- 02Semantic 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
- 03Serverless 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
- 04Zero-Copy Warehouse Modernization: Migrating Legacy Databases to Apache Iceberg Without DowntimeMove a legacy warehouse to Iceberg without downtime by virtualizing first. Consumer cutover, parity checks, and background copy without double-ETL.Apache IcebergAug 25, 2026
- 05The Agent Is Now a Named Coworker, and It Needs a File FormatNamed, persistent agents need a file format. Open Agent Profile, Buzz, Grok Bot, and Hermes Bot Mode show why a portable agent identity matters.AI & AgentsAug 24, 2026
- 06Your Agent Should Answer the Phone: A Field Guide to AI Gateways on Slack, Discord, Telegram, Signal, and TeamsA field guide to AI gateways on Slack, Discord, Telegram, Signal, and Teams: architecture, auth, cost, and the failure modes that matter.AI & AgentsAug 24, 2026