
Explore strategies for creating effective open source non-profits, avoiding common pitfalls, and fostering community growth through thoughtful organizational structures and practices.

Explore data-driven methods to assess open source project health using GitHub data. Learn to create dashboards and ML models for deeper insights into software development processes.

Insights from organizing virtual Ansible Contributor Summits: challenges, successes, and lessons learned for future hybrid events. Explores open-source tools, community feedback, and evolving conference management strategies.

Explore efficient log management using Fluentd, a powerful open-source data collector. Learn techniques for streamlined log handling and analysis in modern IT environments.

Explore blockchain's potential to enhance supply chain resilience and accountability amid climate change and disruptions. Experts discuss innovative solutions and real-world applications.

Explore Hadoop security vulnerabilities, attack vectors, and tools for accessing data in Big Data clusters. Learn about design flaws and practical techniques to exploit weaknesses in Hadoop infrastructure.

Learn to leverage Sparklyr for scalable machine learning and AI applications, empowering data scientists to work efficiently with big data in R.

Learn to create reproducible machine learning workflows using Kubeflow Pipelines, enhancing efficiency and scalability in ML projects with Google's open-source platform.

Explore Flyte, a cloud-native platform for machine learning and data processing, presented by Lyft engineers. Learn its features, benefits, and applications in modern data workflows.

Explore open source software qualification strategies for quality management, focusing on best practices and industry standards in automotive and embedded systems.

Explore real-time data warehouses in open source, focusing on ClickHouse's architecture, performance optimization, and integration patterns for modern analytics applications.

Explore feminist data science with Lauren Klein, examining how gender perspectives can reshape data analysis methods and interpretations in humanities research.

Explore data contracts for AI systems: ensuring data quality, schema, semantics, and governance. Learn to evolve data models iteratively and apply incremental governance for trustworthy AI training datasets.

Discover insights on building Generative AI applications, exploring frameworks, lessons learned, and the advantages of embedded AI for innovative solutions and business integration.

Explore modern streaming data platforms for real-time transaction processing, focusing on durability, scalability, and performance in critical data paths. Learn from Alpaca's experience re-engineering their order management system.

Explore Presto, an open-source distributed SQL query engine for data lakes. Learn its architecture, use cases, connectors, and performance benchmarking. Discover how Presto enables fast, scalable analytics on diverse data sources.

Explore how DevOps principles can revolutionize compliance in financial services, creating a CompOps culture that enhances regulatory adherence, efficiency, and risk management.

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

Explore high-performance middleware design for exascale systems, focusing on MVAPICH2 project's features and performance in HPC, AI, and data science applications across various platforms.

Learn techniques to simplify testing Spark applications, covering Python UDFs, Pandas UDFs, and functional APIs. Explore practical scenarios and demos for efficient data processing and analysis.

Explore the future of work, open-source innovation, and diversity in tech with industry leaders. Gain insights on collaboration, AI, cloud computing, and inclusive practices shaping the tech landscape.