
Explore industry approaches to data integration for new applications, examining the interplay between computer science, control theory, and adaptive control in both online and offline contexts.

Explore probabilistic modeling for big data using factor graphs and message passing. Learn how Amazon tackles real-world problems with advanced statistical techniques in the era of structured data.

Explore strategies for simplifying data architectures, modernizing infrastructures, and leveraging real-time streaming for AI. Learn to navigate complexity and achieve faster results in data engineering.

Explore Rook's architecture, recent developments, and multi-homed network configurations for cloud-native storage orchestration in Kubernetes, focusing on EdgeFS and Ceph operators.

Learn to connect data sources, create various charts, and master essential Tableau features for powerful data visualization and analysis.

Explore the transition to T+1 settlement, its benefits, and how unified open-source platforms can streamline regulatory reporting in capital markets, enhancing efficiency and risk mitigation.

Explore the evolution of open data ecosystems, addressing challenges in big data processing and introducing new approaches like data mesh and open APIs to streamline data management and accelerate value creation.

Explore Egeria's open metadata framework for seamless integration of Big Data with diverse information systems, enhancing enterprise-wide data management and governance.

Explore the [X]BOM Fabric: a revolutionary approach to digitize Bills of Materials, enhancing supply chain transparency, security compliance, and vulnerability analysis across diverse industries and technologies.

Learn essential open source metrics and analysis techniques, covering data challenges, GitHub bots, accountability, privacy, and best practices for meaningful insights.

Explore open-source tools for efficient data streaming and lake management, enhancing your skills in modern data architecture and processing techniques.

Modernizing market risk management with open-source architecture: scaling calculations, accelerating model deployment, and improving risk management through hybrid cloud, DevSecOps, and event-driven architecture.

Explore the rapid advancements and innovative features of Delta Lake, enhancing data reliability and performance in modern data architectures.

Explore Delta Lake's innovative approach to data management, offering enhanced reliability and performance for large-scale analytics without traditional data lake drawbacks.

Panel discussion exploring critical components and challenges of developing and implementing effective scientific integrity policies, featuring diverse perspectives from experts in the field.

Learn to build a robust streaming analytics stack using Kafka and Druid for real-time data processing, flexible querying, and maintaining data integrity in high-volume environments.

Explore Master Data Management's role in data science, its implementation styles, unique features, and future trends. Learn how MDM enhances data accuracy and drives improved business outcomes.

Learn effective data storytelling techniques using the 3Vs: Vocabulary, Voice, and Vision. Improve your ability to create compelling narratives for data management programs and gain support from stakeholders.

Explore Uber's Palette Feature Store evolution, focusing on feature sharing, cost reduction, and scalability. Learn about serving 21000+ features at 25M queries/sec with 99.999% uptime.

Explore OS-Climate's open data and analytics initiative for climate-aligned finance, featuring Data Commons, Data Mesh, and tools for risk assessment and portfolio alignment.

Discover how Fortune 500 companies automate data preparation, saving millions and enabling data scientists to focus on analysis. Learn from GE and Toyota's successful approaches to unifying enterprise-wide data.