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3M ago 1:00:07

MP3•エピソードのホーム

Marcel Kornacker, the creator of Apache Impala and co-creator of Apache Parquet, joins me to talk about his latest project: Pixeltable, a multimodal AI database that combines structured and unstructured data with rich, Python-native workflows.

From ingestion to vector search, transcription to snapshots, Pixeltable eliminates painful data plumbing for modern AI teams.

Follow Marcel

Pixeltable: https://pixeltable.com
Pixeltable GitHub: https://github.com/pixeltable/pixeltable
LinkedIn: https://www.linkedin.com/in/marcelkornacker

Follow Aaron

Twitter: https://twitter.com/aarondfrancis
LinkedIn: https://www.linkedin.com/in/aarondfrancis
Website: https://aaronfrancis.com – find articles, podcasts, courses, and more
Database School: https://databaseschool.com

Chapters

0:00 – Introduction
0:20 – Meet Marcel Kornacker
1:19 – Early career and grad school in databases
2:12 – Joining Google and building F1
3:42 – How F1 used Spanner at Google
4:01 – Starting Apache Impala at Cloudera
6:02 – Why SQL still matters
7:29 – What keeps Marcel fascinated with databases
9:37 – The “SQL is dead” waves and shift to AI
10:21 – Observing pain points in computer vision pipelines
13:02 – Multimodal data challenges and the idea for Pixeltable
16:10 – How Pixeltable handles transformations with computed columns
26:29 – Example: processing video, audio, and transcripts in Pixeltable
33:12 – DAG execution and parallelism explained
37:00 – Transactional guarantees in Pixeltable
39:00 – Iterators and chunking data for search
42:26 – Using embeddings and semantic search
47:05 – Updating data and incremental recomputation
50:06 – Thoughts on RAG and hybrid search
53:14 – Real-world use cases and dataset curation
57:00 – Example: labeling food waste on cruise ships
1:02:00 – Labeling workflows and syncing annotations
1:02:41 – Pixeltable’s roadmap and cloud vision
1:07:10 – How to get involved with Pixeltable
1:09:03 – Closing and where to find Marcel