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Il y a 4 modules dans ce cours
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.DuckDB From Zero teaches you how to embed DuckDB directly into your Rust applications, treating an analytical SQL engine as a library rather than a server. Across four hands-on modules, you'll move from compiling DuckDB into a single binary to writing SQL queries over local CSV, Parquet, and JSON files, streaming Arrow record batches into Polars, and shipping a polished command-line tool with cargo dist.
By the end you will understand when in-memory connections beat on-disk databases, how projection and predicate pushdown make Parquet queries fast on a laptop, how to hand results to Polars zero-copy through the Arrow C Data Interface, and how to package a Rust CLI that bundles DuckDB so users can install nothing and still run analytical queries against gigabytes of data.
The course is built around short videos, key-term readings, scenario-driven reflections, and an end-to-end demo project. You will leave with a working understanding of DuckDB-in-Rust patterns, the skills to design an analytical CLI you would actually want to use, and a clear mental model of where DuckDB fits between SQLite, Spark, and the Polars/Arrow ecosystem.
DuckDB as a library, not a server. How to compile it into a Rust binary, and when to use in-memory connections versus on-disk database files.
Inclus
3 vidéos3 lectures1 devoir
Afficher les informations sur le contenu du module
3 vidéos•Total 8 minutes
Embedded Analytics in One Binary•3 minutes
Bundled vs System Library•2 minutes
In-Memory vs On-Disk•2 minutes
3 lectures•Total 12 minutes
About This Course•10 minutes
Key Terms: Embedded Analytics•1 minute
Reflection: Embedded Analytics•1 minute
1 devoir•Total 5 minutes
Untitled•5 minutes
SQL Queries Over Local Files
Module 2•15 minutes à terminer
Détails du module
Querying CSV, Parquet, and JSON files directly with DuckDB. How the read_csv_auto and read_parquet table functions work, why projection and predicate pushdown matter, and how to handle nested JSON.
Inclus
3 vidéos2 lectures1 devoir
Afficher les informations sur le contenu du module
3 vidéos•Total 8 minutes
Reading CSV with read_csv_auto•3 minutes
Parquet and Pushdown•3 minutes
Reading Nested JSON•2 minutes
2 lectures•Total 2 minutes
Key Terms: SQL Queries Over Local Files•1 minute
Reflection: SQL Queries Over Local Files•1 minute
1 devoir•Total 5 minutes
SQL Queries Over Local Files•5 minutes
Arrow Result Sets & Polars Interop
Module 3•15 minutes à terminer
Détails du module
Moving DuckDB results into the broader data ecosystem via Apache Arrow. How to fetch Arrow record batches from DuckDB, hand them to Polars, and choose between DuckDB and Polars for each stage of a pipeline.
Inclus
3 vidéos2 lectures1 devoir
Afficher les informations sur le contenu du module
3 vidéos•Total 8 minutes
Streaming Arrow Record Batches•3 minutes
DuckDB to Polars•2 minutes
Engine Selection Per Stage•3 minutes
2 lectures•Total 2 minutes
Key Terms: Arrow & Polars•1 minute
Reflection: Arrow & Polars Interop•1 minute
1 devoir•Total 5 minutes
Arrow Result Sets & Polars Interop•5 minutes
Shipping DuckDB
Module 4•1 heure à terminer
Détails du module
Packaging DuckDB-powered Rust code as a portable single-file CLI. How to design CLI ergonomics with clap, ship binaries with cargo dist, and wire main.rs to a lib.rs core that holds the DuckDB logic.
Inclus
2 vidéos6 lectures1 devoir1 laboratoire non noté
Afficher les informations sur le contenu du module
2 vidéos•Total 6 minutes
Shipping DuckDB in a CLI•3 minutes
DuckDB End-to-End Demo•3 minutes
6 lectures•Total 6 minutes
Key Terms: Shipping DuckDB•1 minute
Reflection: Shipping DuckDB in a CLI•1 minute
Key Terms: End-to-End Demo•1 minute
Reflection: DuckDB End-to-End•1 minute
Before You Go•1 minute
Next Steps•1 minute
1 devoir•Total 5 minutes
Final Graded Quiz•5 minutes
1 laboratoire non noté•Total 60 minutes
Two queries in DuckDB•60 minutes
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