The database for all your AI needs скачать в хорошем качестве

The database for all your AI needs

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, Pixel Table eliminates painful data plumbing for modern AI teams. Follow Marcel: Pixeltable: https://pixeltable.com Pixeltable GitHub: https://github.com/pixeltable/pixeltable LinkedIn:   / marcelkornacker   Follow Aaron: Twitter:   / aarondfrancis   LinkedIn:   / 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 Pixetable 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 - Pixel Table’s roadmap and cloud vision 1:07:10 - How to get involved with Pixeltable 1:09:03 - Closing and where to find Marcel