Notes from the compute layer

A comprehensive comparison of Apache Iceberg, Delta Lake, and Hudi, three leading open table formats, and how to choose between them.

How a causal attribution engine decomposes metric anomalies into structural signals, causal drivers, and narratives for AI-powered root cause analysis.

Cloud data warehouses have shifted from storage-focused to compute-focused platforms addressing concurrency and cost efficiency at scale.

A framework for systematically reducing cloud data warehouse costs while preserving performance, spanning compute, storage, pricing models, and architecture.

How a paused future can hold a Tokio Mutex permit forever, producing what looks like a deadlock even though no lock is held.

Streaming metadata reads, layered pruning, and treating metadata as data to scale Apache Iceberg tables with tens of millions of files.

How the VARIANT data type stores semi-structured JSON in a compact binary format for query performance rivaling rigid schemas.

How German Strings use a fixed 16-byte struct layout with an inline prefix to dramatically speed up string operations in analytics engines.

How Partition Projection automates Hive-style partition management with rule-based partitioning to cut ETL costs and speed up queries.