Tools and Techniques - Data Science with R - Dr. James Geddes
Explore data science techniques using R with Dr James Geddes. Learn practical skills for analyzing and visualizing data from an expert at the Alan Turing Institute.
Kubernetes: The Cornerstone of Modern Data Engineering
Explore Kubernetes' impact on data engineering, focusing on open-source tools, scalability, and efficiency. Learn how it's shaping the future of data processing and management.
Delivering Guest Experience through Rapid Technology Innovation at Target
Explore how Target leverages rapid technology innovation to enhance guest experiences, focusing on cloud computing and digital transformation strategies in retail.
Data, Meet Design - Making Information Beautiful
Explore how visual arts enhance informed debate on significant issues, focusing on Herbert Bayer's World Geo-Graphic Atlas as a precursor to modern information design.
Big Problems with Big Data - Hadoop Interfaces Security
Explore Hadoop interfaces security challenges and solutions in big data environments, focusing on potential vulnerabilities and best practices for robust protection.
Monitoring Fluent Bit in Production - Metrics and Best Practices
Explore strategies for monitoring Fluent Bit in production, including key metrics, storage considerations, and detecting pipeline health issues. Learn from real-world experiences and gain practical insights for optimizing your logging infrastructure.
Demystifying the Fluent Core Event Loop and Its Optimization - Event-Driven Systems
Explore Fluent Bit's core event loop, its challenges in high-throughput scenarios, and ongoing optimization efforts. Gain insights to contribute to the discussion on improving this crucial system.
Kubernetes and AI in Cancer Diagnosis and Treatment
Explore how distributed Kubernetes clusters and AI revolutionize cancer diagnosis, combining computational biology with cloud computing for faster, more precise treatments.
Managing Multi-Cloud Apache Spark on Kubernetes
Learn strategies for managing Apache Spark on Kubernetes across multiple clouds, focusing on auto-scaling, scheduling, and observability techniques for efficient data science infrastructure.
Fluent Bit 1.9 - First Mile Observability for Cloud Native Environments
Explore Fluent Bit 1.9's latest features for enhanced observability, including improved container support, new plugins, and optimized performance for efficient log and metric collection.
Fluentd and Fluent Bit - Observability Pipelines for Logging and Metrics
Explore unified observability with Fluentd and Fluent Bit, covering log and metric collection, processing, and integration with Prometheus for enhanced monitoring in production environments.
Scaling Fluentd From 0 to Millions of Events - Performance Optimization and Architecture
Explore Fluentd scaling strategies, performance optimization, and deployment architectures for handling millions of events efficiently in large-scale environments.
Hands-On Workshop: Getting Started with Fluent Bit and Metrics with M3DB
Hands-on workshop exploring Fluent Bit's new metrics capabilities with M3DB. Learn to collect, send, and visualize metrics using open-source tools in a cloud-native observability stack.
Getting More Out of Lua in Fluent Bit
Explore Lua scripting in Fluent Bit to unlock its full potential. Learn novel scenarios, tips, and tricks to enhance log processing capabilities beyond basic sample scripts.
Understanding Traffic with Open Data and Visualization
Exploring innovative data science approaches to optimize urban traffic using crowd-sourced data and visual analytics tools, aiming to improve infrastructure performance without major investments.
Changing People's Relationship with the BBC by Doing Data Science
Explore how data science is transforming BBC News, enhancing audience engagement, and driving newsroom innovation. Learn about ethical ML applications in broadcasting and media.
Bridging the Quality Divide in Internet Provision With Competition-Enhancing Regulation
Explore how competition-enhancing regulation can improve internet quality of service across countries, addressing the digital divide and its impact on various applications and technologies.
Delayed Column Generation in Large Scale Integer Optimization Problems
Explore delayed column generation for solving large-scale mixed integer programming problems, focusing on applications in data science and decision mathematics.
Opportunities and Challenges for Data Science in Big Environmental Science - Bryan Lawrence
Exploring data science applications in environmental research, addressing challenges of big data in climate modeling and Earth observation, and discussing future opportunities in the field.
Meeting the Integration Challenge - Optimizing Data and Design for Real-World Applications
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.
What Independent SAGE Has Taught Me About Issues in Light of COVID-19 and Where Data Science Can Help
Insights from Independent SAGE on COVID-19 challenges and potential data science solutions, exploring lessons learned and future research priorities for crisis response.