What makes data AI-ready, how Iceberg features like schema evolution and time travel support it, and how Dremio speeds data prep for AI workloads.
A guide to Rust's Cargo.toml: package metadata, dependency versions, git and dev dependencies, optional features, build profiles, and workspaces.
How to use Python's match statement and list, set, and dict comprehensions for data cleaning, categorizing, JSON mapping, filtering, and aggregation.
Run Dremio, Nessie, and MinIO with Docker Compose in about 10 minutes, create Iceberg tables, run transactions, and inspect the files and metadata.
