Alex Merced Tutorialshandbook

681 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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Page 34 of 114
  1. 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
  2. 02How 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
  3. 03Using 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
  4. 04FinOps 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
  5. 05Designing 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
  6. 06What Iceberg V3 Advances Mean for CDC PipelinesApache Iceberg V3 brings deletion vectors and row lineage that reshape CDC pipeline design. Learn what these features mean for your streaming data architecture.Apache IcebergMay 24, 2026