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Explore multi-modal AI data management challenges and solutions. Learn about Lance columnar format for next-gen AI infrastructure through real-world use cases and technical insights.
Explore advanced A/B testing strategies like Multi-Armed Bandits and Switchback Experiments to enhance data-driven decision-making and product development.
Discover SQLMesh: revolutionize data pipeline development with virtual environments, automated testing, and accurate change previews inspired by industry giants.
Explore Coda's journey in developing an AI evaluation system, from initial tests to comprehensive vendor evaluations. Learn key strategies for benchmark datasets and AI feature integration.
Explore OneTable's innovative approach to optimizing data across Hudi, Iceberg, and Delta Lake. Learn how it enhances workloads for various query engines and streamlines data analysis.
Explore SQL's application to unbounded data streams, covering time-oriented elements, continuous pipeline challenges, and insights for data professionals.
Explore open generative AI and Llama models' impact. Learn to build AI chatbots with LangChain, leverage the Llama ecosystem, and deploy AI responsibly using Purple Llama components.
Explore real-time customer analytics architecture at Twilio, including benefits, challenges, and sub-second latency impact. Learn how these insights influenced Propel's approach to diverse analytics use cases.
Discover strategies for implementing real-time analytics with limited resources. Learn from Materialize's adoption experience and optimize data workflows for efficiency and cost-effectiveness.
Explore Beam's innovative dashboards-as-code approach, leveraging Python scripts and modular design to simplify complex analytics and scale products efficiently.
Unravel intricacies of deploying Large Language Models in production. Explore case studies, best practices, tools, and troubleshooting techniques with industry expert Lukas Biewald.
Explore strategies for data team cost control, including monitoring metrics and driving accountability, to enhance operational efficiency and ROI.
Explore open data Lakehouse architecture using Trino and Apache Iceberg. Learn to build efficiently, transform data, understand Iceberg's functionality, and produce analytics-ready data in this hands-on workshop.
Revolutionize data team output by treating Data Culture as a product. Explore onboarding, activation, and retention from a product manager's perspective, with real-life success examples.
Explore CloudQuery's architecture, write Golang & Python plugins, and learn to extract and sync data efficiently using this open-source ELT framework powered by Apache Arrow.
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