Arrow in Flight - New Developments in Data Connectivity
summary
Apache Arrow standardizes a columnar memory layout and IPC so projects avoid costly conversions and share data zero‑copy across languages. Real-world wins include Spark UDFs speeding Python execution up to 200x and analytics pipelines claiming up to 100x acceleration; Python bindings hit ~70 million monthly downloads. New infrastructure includes Arrow Flight SQL for columnar client‑server queries, the ADBC driver layer, Arrow Dataset for multi‑file IO, GPU use via RAPIDS, and production tooling like Lance and DuckDB integrations.
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chapters (6)
- 0:00Apache Arrow intro
- 5:02Arrow history & success
- 13:27Arrow ecosystem & integrations
- 21:33Arrow use cases
- 31:21Arrow future role
- 32:46Q&A
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