The Post-Modern Data Stack for AI: Open Source Foundations for a Multimodal La...
summary
Lance format is a new open source lakehouse storage that stores images, audio, video, embeddings and tables in the same table on object storage, designed for AI workloads and claimed to support tens to hundreds of petabytes. It delivers 100x faster random access than Parquet for vector-style lookups, enables zero-copy data evolution so columns and embeddings can be added or backfilled incrementally, and is used by teams like Netflix for a multimodal media data lake.
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chapters (11)
- 0:00Introduction
- 1:04AI product differentiation
- 2:08AI vs traditional data challenges
- 3:55Traditional lakes limitations
- 5:21New lakehouse for AI
- 6:24Netflix multimodal case
- 8:11Open source foundation needed
- 8:32Lance solves AI data issues
- 12:49Lance in AI infrastructure
- 13:10AI data trends
- 15:19Q&A
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