749 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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All topics- Data Lakehouse201
- Apache Iceberg183
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- Dremio65
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- AI coding tools31
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- AI26
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Latest tutorials
Page 5 of 125- 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.Apache IcebergAug 25, 2026
- 02FSST and ALP: The Two Encodings Fixing Parquet's Weakest Compression CasesALP and FSST target Parquet's worst cases: floats and high-cardinality strings. How they work and what they change for Iceberg tables.Apache IcebergAug 25, 2026
- 03Governance-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.GovernanceAug 25, 2026
- 04Metric 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.AI & AgentsAug 25, 2026
- 05High-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
- 06Multi-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