MiDAS Seminar Fall 2024 on "Apache DataFusion" by Andrew Lamb
Автор: Data-Intensive Systems and Computing Lab - BU
Загружено: 2024-10-29
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MiDAS-Data Systems Seminar Talk by Andrew Lamb on "Apache DataFusion: Design Choices when Building Modern Analytic Systems"
Abstract: Andrew will discuss engineering choices made when building Apache DataFusion, an open source and extensible query engine used as the basis of many commercial and open source projects. He will cover rationale for decisions such as using Rust and building on standards such as Arrow and Parquet. He will also discuss DataFusion’s design philosophy of extensible APIs paired with simple default implementations. Finally, he will offer lessons learned and enumerate some things that worked well and what could have been improved.
Bio: Andrew currently works in Rust on InfluxDB 3.0, focused on query processing, the Apache DataFusion query engine and the Apache Arrow ecosystem. He serves on the Apache DataFusion PMC (2024 Chair), and on the Apache Arrow PMC (2023 Chair), and actively contributes to the Apache Arrow DataFusion query engine and the Apache Arrow Rust implementation. He earned a BS and MEng in Course VI from MIT. More details are available at http://andrew.nerdnetworks.org/
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