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Daft Contributor Sync | Sep 2025
00:27:19
Introducing Flotilla – Simplifying Multimodal Data Processing at Scale
00:03:17
Data Systems for AI: Multimodal Madness Panel
00:37:10
Data Processing for Any Data and Any Scale
00:19:54
3 Tips to Debug Slow Daft Queries | Optimization Techniques & Actionable Insights
00:03:11
Daft Team Takes On Climbing | Dogpatch Boulders, SF
00:02:18
GPU Pipeline Optimization Explained | Async UDFs, CUDA Streams & Pinned Memory
00:18:50
Build Scalable Batch Inference Pipelines in 3 Lines | Daft + GPT/vLLM
00:02:36
Near-100% GPU Utilization: Embedding Millions of Text Documents With Qwen3
00:02:58
Why Your Image Processing Pipeline Keeps Running Out of Memory
00:03:37
Wrangle PDFs with Custom User Defined Functions (UDF) in Daft
00:20:31
Eventual Raises $30M to Build the Future of Data
00:01:16
Daft Roadmap | Daft Launch Week Day 5
00:00:54
User-Defined Data Sources & Sinks | Daft Launch Week Day 4
00:03:10
Spark Connect for Daft | Daft Launch Week Day 3
00:03:32
Dynamic Execution for Multimodal Data Processing | Daft Launch Week Day 2
00:03:29
New Brand, New Website, New Docs | Daft Launch Week Day 1
00:00:53
Data and AI Processing At Scale, Made Easy
00:22:06
Scaling Data Processing and ML Training with Daft + Ray
00:44:55
Ray Tracing for Daft Distributed Queries
00:14:23
Daft DataFrame Contributor’s Sync (Nov 2024)
00:04:38
4 Components Behind Building a SQL Engine
00:20:07
Daft DataFrame Contributor's Sync (October 2024)
00:03:14
Life After Apache Spark: Why and How We’re Building the Daft Query Engine (SF Systems Meetup)
00:29:47
Unity Catalog: the Universal Catalog for Data + AI
00:14:25
A New Open Source Foundation for AI Data
00:17:16
Distributed Data Tools Should Be Easy To Use: Entreaties From an End-User
00:13:34
Why Multimodal Data Requires New Tools
00:12:18
From Data to Deployment: Lessons from AI Founders
00:53:08
Run Daft on a Distributed Cloud Cluster
00:21:14