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 36 of 133- 01The State of Apache Polaris in July 2026: From Incubating Catalog to the Governance Layer of the Open LakehouseApache Polaris as a TLP — federation, credential vending, semantic layers, lineage, and how the open catalog became the governance plane of the multi-engine lakehouse.Apache PolarisJul 06, 2026
- 02The State of Apache Parquet in 2026: The Quiet Format Enters Its Loudest DecadeApache Parquet in 2026 — variant types, geospatial, ALP encoding, footer redesign, the versioning debate, and how the decade-old format is renovating for AI workloads.Apache ParquetJul 06, 2026
- 03The State of Streaming to Apache Iceberg in July 2026: Every Path, Its Latency, and What to Do When Seconds Are Not Fast EnoughEvery path for streaming data into Iceberg in 2026 — Flink, Spark, Kafka Connect, broker-native, managed pipelines — with honest latency numbers and sub-second hybrid architectures.Apache IcebergJul 06, 2026
- 04Lakehouse Table Formats in 2026: Iceberg, Delta Lake, Hudi, Paimon, and DuckLake, How They Work, Where They Stand, and Where They're GoingCross-posted. This article’s canonical home is Alex Merced’s Lakehouse Blog. Lakehouse Table Formats in 2026: Iceberg, Delta Lake, Hudi…Apache IcebergJul 06, 2026
- 05The 2026-07-28 Model Context Protocol Release Candidate: What the Stateless Spec Means for Data PlatformsWhat the 2026-07-28 Model Context Protocol Release Candidate means for data platforms and agentic analytics.AI & AgentsJul 06, 2026
- 06The Buyer's Scorecard for Agentic Analytics: Evaluating Tooling in the Enterprise AI EraLakehouseJul 06, 2026