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. 01Automating Table Maintenance Before Small Files AccumulateLearn how Databricks Predictive Optimization, AWS S3 Tables, and Iceberg native actions automate compaction and snapshot management before small files degrade performance.
  2. 02Choosing the Right Iceberg Control Plane: Polaris vs. Unity Catalog vs. Cloud RESTChoosing an Apache Iceberg catalog? Compare open-source Apache Polaris, open Unity Catalog, and managed cloud REST control planes to unify your lakehouse.
  3. 03Clean Rooms for Privacy-Preserving AnalyticsData clean rooms enable secure multi-party analytics without sharing raw data. Learn how Databricks Clean Rooms, AWS Clean Rooms, and BigQuery differential privacy work.
  4. 04Building Composable Query Engines with Rust RuntimesApache DataFusion, Velox, and Substrait form the foundation of modern composable query engine stacks. Learn how these components fit together and when to use each.
  5. 05Data Mesh After the Hype: What Actually WorksThree years after Zhamak Dehghani's original papers, data mesh has proven valuable in specific organizational contexts and impractical in others. Here's what the practical implementations look like.
  6. 06How dbt Fusion Reshapes Analytics Engineeringdbt Fusion entered public beta in May 2025 with a Rust-powered runtime that changes how analytics engineers develop, validate, and deploy SQL models. Here's what changed.