~/talk

Mastering Large NDArray Handling with Blosc2 and Caterva2

Talkat PyData Global 2024 · 2024-12-03..12-05· [python, databases]
slides:none on file

Blosc2 is a compression format and library for large NDArrays that shows concrete results: a 10,000×10,000 array (100 million elements) compresses to a few megabytes, often ~100x compression and examples where a saved array is ~4 MB for 100M elements. The runtime supports lazy expressions saved to disk and reductions, user‑defined functions accelerated with Numba, chunk/block tuning, and Caterva2 for remote sharing and serving (demoed with a 3D tomography set of 10 images).

AI-written summary · about

  1. 0:00Introduction
  2. 1:30Blosc2 and Caterva2 overview
  3. 7:00NDArray tutorial setup
  4. 10:04Creating NDArrays in Blosc2
  5. 27:16Blosc2 vs Iron Array
  6. 31:29Lazy arrays in Blosc2
  7. 51:51Querying structured arrays
  8. 1:01:54UDFs with Blosc2 and Numba
  9. 1:09:54Caterva2 for remote access
  10. 1:20:47Q&A
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