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 50 of 133- 01Data 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.Data EngineeringMay 24, 2026
- 02Clean 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.Data LakehouseMay 24, 2026
- 03How 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.Data EngineeringMay 24, 2026
- 04Using DuckDB and Polars to Query Iceberg TablesDuckDB 1.4 LTS and Polars streaming engine now both support reading and writing Apache Iceberg tables. Learn how to use them for lakehouse analytics in 2025.Apache IcebergMay 24, 2026
- 05FinOps for Data Warehouses with Open Billing DataThe FOCUS 1.3 specification and native warehouse cost views make real-time cost attribution practical. Learn how to build a FinOps pipeline for Snowflake, BigQuery, and multi-cloud environments.Data LakehouseMay 24, 2026
- 06Designing Governed RAG on Data ProductsEnterprise RAG architecture that trusts its own data requires governance at the retrieval layer. Learn how to build governed RAG using data products, access policies, and semantic layer routing.Data EngineeringMay 24, 2026