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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Latest tutorials
Page 9 of 130- 01Apache Ossie and Apache Polaris: Putting Semantic Models in the Open CatalogApache Ossie and Polaris put metric definitions in the open catalog. What the spec covers, what Polaris stores, and what is still unfinished.Semantic LayerAug 25, 2026
- 02Arrow Flight SQL and ADBC: Why the Database Driver Is the Slowest Part of Your QueryJDBC and ODBC often dominate large-result time. Flight SQL and ADBC keep data columnar from server to client, with Python, Go, and Rust examples.Data EngineeringAug 25, 2026
- 03DataFusion 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
- 04FSST 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
- 05Governance-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
- 06Metric 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