Monitoring and Metadata - Exploring Approaches to Attaching Metadata to Logs, Metrics and Traces
Explore approaches for attaching metadata to logs, metrics, and traces in complex systems. Learn how metadata enhances observability, enables effective troubleshooting, and improves analysis in monitoring systems.
APRON: Authenticated and Progressive System Image Renovation
Innovative approach to secure OS recovery, minimizing downtime through progressive block repair and verification. Outperforms conventional methods, enabling swift system restoration with minimal performance impact.
Extending Data Governance for AI Use with Collibra and Databricks
Explore strategies for extending data governance to AI systems, ensuring trust, compliance, and collaboration while integrating Collibra with Databricks Unity Catalog for tailored solutions.
Shell's Journey Towards Effective Data Governance with AI and Lakehouse
Shell's data strategy journey: Overcoming governance challenges with Unity Catalog, Data Mesh, and AI. Insights on aligning goals, identifying use cases, and scaling operations for data, analytics, and AI success.
Cloud-Based Generative AI Supporting Preliminary Engineering Design
Optimize engineering design with cloud-based generative AI. Learn how Rolls-Royce and Databricks reduced cGAN training time by 30x using distributed computing, MLflow, and Unity Catalog for aerospace compliance.
Crafting the Future of Go-to-Market Strategies with AI and Clean Data
Explore how clean data and Generative AI revolutionize go-to-market strategies, featuring real-world case studies and insights on unified data systems for transformative market success.
Efficient MLOps: Developing and Deploying ML Models with Databricks
Explore efficient MLOps framework design for ML model development and deployment, covering environment management, CI/CD pipelines, and tools like Unity Catalog and MLflow for model monitoring and progression.
Skyscanner's Journey of Enabling Practical Data and AI Governance
Discover how Skyscanner revolutionized their data infrastructure using lakehouse architecture and Unity Catalog, enabling effective governance and powering critical AI and ML applications.
Data-Centric Approach to Machine Learning in Health Applications
Explore robust data management practices for machine learning in health applications, addressing common pitfalls and showcasing solutions from neuroscience and cell biology research.
Federated Learning and Integration of Biomedical Data
Explore federated learning for secure biomedical data collaboration, integrating data harmonization and imputation techniques. Discover applications in neuroimaging tasks.
Lessons Learned from Building Blockchain Consortia Apps
Discover best practices for building blockchain consortium apps, from network setup to data management and scaling. Learn to optimize for throughput and move efficiently from concept to production.
Cyberinfrastructure Needs for Field Geology - Insights from Yosemite and Owens Valley
Explore challenges and opportunities for AI in field geology through a computer scientist's perspective on a unique interdisciplinary field trip to Yosemite and Owens Valley.
Towards Observability for Machine Learning Pipelines
Explore end-to-end observability for ML pipelines. Learn about a system that enhances visibility, executes tests, tracks data flow, and enables post-hoc analysis of pipeline health.
Global School Connectivity DataOps Platform
Explore the development of an open-source DataOps stack managing connectivity data for millions of schools, covering ingestion, pipelines, quality, and analytics integration.
When Clusters Collide: The Misadventures of Disaster Recovery in Kubernetes
Explore Kubernetes disaster recovery challenges, from DNS management to data replication. Learn best practices for handling cluster collisions and implementing comprehensive DR configurations.
Solving Migration Pipelines
Explore strategies for solving migration pipeline challenges in cloud-native environments, focusing on efficiency and scalability.
What is a Data Mesh? - Understanding Decentralized Data Architecture
Explore data mesh architecture, its principles, and implementation strategies for scalable, domain-oriented data management in cloud-native environments.
Event-Driven Change Data Capture Pattern
Explore event-driven Change Data Capture patterns and their implementation using Apache Pulsar for efficient, real-time data synchronization in cloud-native environments.
DevOps Best Practices for DataOps Mesh
Discover DevOps best practices for implementing DataOps Mesh, enhancing data management and collaboration in complex environments.
Deep Dive into Data Mesh Principles
Explore Data Mesh principles: domain ownership, data as product, self-serve platform, and federated governance for modern business success.
Get Started With Stable Diffusion - Code, HF Spaces, Diffusers Notebooks
Learn three methods to use Stable Diffusion: HuggingFace Spaces, Colab notebooks, and local setup. Gain practical skills in image generation, metadata reproduction, and interpolation techniques.