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. 01Using 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.
  2. 02FinOps 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.
  3. 03Designing 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.
  4. 04What 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.
  5. 05Kafka 4.0 Changes Streaming Platform OperationsKafka 4.0 removes ZooKeeper and ships KRaft and KIP-848 by default. Learn what those changes mean for platform operations, upgrades, and client configurations.
  6. 06Lance and Iceberg for Multimodal AI DataLanceDB and Apache Iceberg serve complementary roles in a multimodal AI lakehouse. Learn when to use Lance for embeddings and random access, and Iceberg for structured metadata and SQL analytics.