Use SQLite from Rust to build production-grade data tooling — the embedded, single-file SQL engine that ships in every Android phone, every iOS device, and most web browsers. You'll start with the basics of SQLite as a serverless library, then drive it from Rust with the rusqlite crate: opening file-backed and in-memory databases, running INSERT, SELECT, UPDATE, DELETE through prepared statements, and surfacing errors as `Result` rather than swallowing them. Module 2 turns the database into a real ETL stage: stream CSV with the csv crate and serde, ingest JSON with serde_json into typed columns or JSON1 blobs, and round-trip data back out as exports or full SQL dumps. The capstone builds **fscrawl** — a clap v4-driven CLI that walks a directory, upserts file metadata into SQLite, and exposes crawl, query, export, and db-dump subcommands. By the end you can ship a typed, transactional, embedded-SQL CLI tool from a single Rust binary.e.g. This is primarily aimed at first- and second-year undergraduates interested in engineering or science, along with high school students and professionals with an interest in programming.

SQLite for Rust

SQLite for Rust
This course is part of Rust for Data Engineering Specialization


Instructors: Noah Gift
Included with
Recommended experience
What you'll learn
Drive SQLite from Rust with rusqlite — connections, prepared statements, parameterized queries, and transaction-wrapped bulk inserts
Build typed CSV and JSON ingestion paths with the csv crate and serde_json, and round-trip data back out as exports or SQL dumps
Ship a clap v4 CLI (fscrawl) that walks a filesystem with walkdir, stores metadata in SQLite, and exposes crawl / query / export / db-dump
Skills you'll gain
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May 2026
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