Artificial Intelligence: Current State and Future Prospects - Keynote Conversation
Explore AI's current state, impact, and future with Noah Goodman and Jim Zemlin. Delve into open source's role, data's future, and the driving forces behind AI's rapid advancement.
Spark Over a Mesos Secured Productive Environment
Explore advanced Spark and Mesos integration for secure, isolated Big Data environments. Learn to enhance protection, manage secrets, and implement network solutions in enterprise-level deployments.
Getting Started with Delta Lake
Learn to create a Lakehouse architecture with Delta Lake, an open-source storage framework. Explore data reliability challenges, hands-on examples, and benefits for big data use cases in modern data engineering.
Socializing the Elephant - Integrating Big Data Using Egeria Open Metadata
Explore Egeria's open metadata framework for seamless integration of Big Data with diverse information systems, enhancing enterprise-wide data management and governance.
Building Modern Data Streaming Apps with Open Source
Discover best practices for building data streaming applications using open-source frameworks. Learn to orchestrate streams, perform ETL, enhance events, and make continuous queries with tools like Apache NiFi, Pulsar, Spark, and Flink SQL.
How to Interpret, Motivate, and Share OSS Community Health Findings - Keynote
Explore strategies for interpreting, improving, and communicating open-source community health findings within organizations, enhancing collaboration and project success.
Introduction to Stream Processing with Apache Flink
Explore stream processing fundamentals and Apache Flink's capabilities for real-time data analysis, scalable applications, and event-driven architectures.
Lessons Learned from Big Data and AI/ML Collaboration for Giant Hogweed Eradication
Explore big data and AI/ML collaboration for invasive plant eradication, covering challenges, architecture, data flow, and lessons learned in scalable machine learning systems.
Efficient Data Parallel Distributed Training with Flyte, Spark and Horovod
Learn to optimize distributed training using Flyte, Spark, and Horovod for efficient data parallelism in machine learning workflows.
LFX Insights - 360° View of Open Source Project Performance
Leverage data-driven LFX Insights to make informed decisions, track contributions, and analyze trends for growing and sustaining your open source project ecosystem.
Data Analytics Democratization: How ING Data Analytics Platform Bootstraps New Data-Driven Products
Explore ING's Data Analytics Platform, enabling internal teams to access curated data and tools for validating business ideas in a secure environment, democratizing advanced analytics capabilities.
A Beginner's Guide to Open Source Metrics and Analysis
Learn essential open source metrics and analysis techniques, covering data challenges, GitHub bots, accountability, privacy, and best practices for meaningful insights.
Self-serve Feature Engineering Platform Using Flyte and Feast
Explore a self-serve feature engineering platform leveraging Flyte and Feast technologies, enhancing data science workflows and machine learning model development.
Community Data: What to Measure and Why
Explore data science techniques for extracting meaningful insights from open source community metrics, enhancing decision-making and advocacy in the evolving landscape of community management.
Bringing the Power of ONNX to Apache Spark - Integrating Deep Learning Inference
Explore integrating ONNX with Spark for efficient deep learning inference pipelines. Learn about Ascend Hardware Platform's ONNX contributions and Spark community's simplified API for DL inferencing.
Automating Cloud-native Spark Jobs with Argo Workflows
Learn to orchestrate Spark jobs on Kubernetes using Argo Workflows, exploring architecture, resource management, and scaling advantages for efficient large-scale data processing in cloud-native environments.
Uncovering Community and Project Insights Through Data-Driven Methods
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.
Being Fluentd with Logs
Explore efficient log management using Fluentd, a powerful open-source data collector. Learn techniques for streamlined log handling and analysis in modern IT environments.
Customized Trace Data Visualization with KernelShark - How to Write User Plugins
Learn to create custom trace data visualizations using KernelShark plugins. Explore basic concepts, visualization models, and practical examples for enhanced data analysis and interpretation.
Hadoop Safari: Hunting for Vulnerabilities
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.
Democratizing AI with Sparklyr
Learn to leverage Sparklyr for scalable machine learning and AI applications, empowering data scientists to work efficiently with big data in R.