))
The database for all your AI needs
Manage episode 506779303 series 3579868
Вміст надано Aaron Francis and Try Hard Studios. Весь вміст подкастів, включаючи епізоди, графіку та описи подкастів, завантажується та надається безпосередньо компанією Aaron Francis and Try Hard Studios або його партнером по платформі подкастів. Якщо ви вважаєте, що хтось використовує ваш захищений авторським правом твір без вашого дозволу, ви можете виконати процедуру, описану тут https://uk.player.fm/legal.
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
21 епізодів
Поширити
