
Explore cutting-edge techniques for multi-robot systems using physics-assisted approaches to enhance exploration and coordination in complex environments.

Explore end-to-end data security in modern distributed applications. Learn to implement authenticity, integrity, and privacy guarantees across complex multi-hop routes and untrusted environments.

Explore data security and storage hardening in Rook and Ceph. Learn about threat modeling, security zones, encryption, access controls, and infrastructure hardening for robust software-defined storage.

Explore SPIFFE and SPIRE for establishing trust between workloads in complex cloud environments without pre-shared secrets, enhancing security and productivity.

Explore real-time data querying using SQL engines like Apache Flink, ksqlDB, Trino, and RisingWave for streaming data analysis on Kafka and other message buses.

Discover how to optimize data lake performance and reduce costs using open-source caching frameworks, with practical techniques for query acceleration and storage efficiency.

Master real-time data processing with Apache Flink, from implementing counters and windowed analytics to data enrichment techniques for high-demand distributed systems.

Discover how Rook enables cloud-native storage in Kubernetes, exploring its integration with Ceph for robust block, file system, and object storage solutions in production environments.

Learn how Rook and Ceph automate Kubernetes storage orchestration, streamlining Day 1 & 2 operations. Discover best practices, see a live demo, and understand how to implement self-managing storage systems.

Explore distributed payment systems, mobile money revolution, and the DigiTally project with Ross Anderson. Insights on challenges, field trials, and lessons learned in building truly decentralized financial solutions.

Learn to accelerate GPU analytics using RAPIDS for Apache Spark and Alluxio, enabling faster data access and processing for AI and analytics workloads across any cloud environment.

Explore data skipping and Z-ordering techniques to enhance Delta Lake performance, focusing on optimized partitioning strategies for improved read and write efficiency in large-scale data lakes.

Overview of Delta Lake 2.0 features, integrations, and community collaboration. Highlights include data skipping, Change Data Feed, column mapping, multi-cluster S3 writes, and support for various languages and platforms.

Explores cost-effective methods for maintaining and updating distributed reordered indexes in growing document collections, focusing on efficiency gains in query execution time and index size reduction.

Innovative solution for accelerating Apache Spark shuffle operations using remote persistent memory pools, improving performance, scalability, and reliability in cloud-based big data analytics.

Learn to secure Apache Spark in big data analytics. Explore code and configuration security, data protection strategies, and integration with common technologies to safeguard critical information throughout its lifecycle.

Comprehensive introduction to Rook, a cloud-native storage operator for Kubernetes. Explore how Rook integrates Ceph with Kubernetes to provide stable block, file system, and object storage for production data.

Explore Dailymotion's implementation of Apache Druid on Kubernetes for partner data management, covering architecture, challenges, and optimizations for scalability and performance.

Explore Rook, a cloud-native storage operator for Kubernetes, and dive deep into Ceph storage provider. Learn about self-managing storage services and recent enhancements for production environments.

Explore Rook-Ceph's use of Multus for dedicated storage networks, boosting performance in baremetal environments. Learn about network topologies, attachment definitions, and compare performance with a live demo.

Explore probabilistic modeling for big data using factor graphs and message passing. Learn how Amazon tackles real-world problems with advanced statistical techniques in the era of structured data.