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

Explore data locality in cloud-native big data workloads, focusing on Apache Hadoop Ozone's network topology support and its benefits for performance and scheduling in Kubernetes environments.

Explore how open source and cloud computing have fueled AI's resurgence, enabling widespread adoption and innovation in machine learning technologies and applications.

Learn how Alluxio enhances Spark and Mesos performance by providing memory-speed data access across disparate storage systems, optimizing big data processing and enabling new workloads.

Panel discussion exploring the SMACK stack's impact on data analytics, featuring insights from industry experts on its current state and future potential in fast data processing architectures.

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.

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.

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.

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 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 scalable real-time trade data processing using Hazelcast and FINOS Perspective. Learn to architect high-performance applications combining streaming data, reference data, and machine learning for front and back office use-cases.

Explore NBCUniversal's data-driven approach to audience targeting using Apache Mesos, DC/OS, Spark, Kafka, and Cassandra for real-time analytics and personalized data services.

Discover how Astronomer transitioned from AWS-managed services to open-source solutions, enhancing flexibility and independence in their data engineering platform.

Learn how Alluxio enhances Spark and Mesos performance by providing memory-speed data access across diverse storage systems, optimizing big data processing and enabling new workloads.

Overview of Fast Data systems, their deployment on Mesos and DC/OS, and their impact on Big Data processing. Learn about the evolving landscape of data pipelines and efficient operational strategies.

Explore Rook, a cloud-native storage operator for Kubernetes, and its integration with Ceph for robust block, file system, and object storage in production environments.

Explore how DFDS uses Kubernetes-based Digital Twins, Crossplane, and Backstage to manage logistics operations and accelerate software development in a decentralized, distributed environment.

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 Rook, a cloud-native storage operator for Kubernetes, and its integration with Ceph for stable block, file system, and object storage in production environments.

Explore Rook, a cloud-native storage operator for Kubernetes, and its integration with Ceph for stable block, file system, and object storage in production environments.

Explore Fluentd's evolution: new package, rebranding, and long-term release cycle. Learn about benefits, impacts, and upgrade process for this popular open-source data collector.