Extending a High-performance Data Streaming System with WebAssembly
Explore WebAssembly integration in high-performance data streaming, focusing on challenges, solutions, and developer experience in Redpanda's Seastar framework environment.
How WebAssembly Simplifies Streaming Data Pipelines
Explore WebAssembly's potential to simplify and enhance streaming data pipelines, reducing latency and resource usage while improving system performance and developer experience.
Resource Management Made Easy - Introducing Resource from Cats-Effect Library
Explore Resource from cats-effect library for efficient resource management in Scala, covering error handling, composition, and advanced use cases like queue consumption and Stream transformation.
Journey's End - Collection and Reduction in the Java Streams API
Explore the Streams API's terminal operations, focusing on collectors. Learn to choose, combine, and create custom collectors for efficient problem-solving in Java programming.
Extending a High-performance Data Streaming System with WebAssembly
Explore WebAssembly integration in high-performance data streaming, focusing on challenges, solutions, and developer experience in Redpanda's Seastar framework environment.
Managing Data Consistency Among Microservices with Debezium
Learn to manage data consistency in microservices using Debezium. Explore domain-driven design, shared databases, service interfaces, and stream processing for effective data ownership and event-driven architectures.
Apache Pulsar - A Cloud-Native Alternative to Kafka for Event-Driven Applications
Discover how Apache Pulsar serves as a scalable messaging platform, offering unified data streaming, multi-tenancy, and seamless integration with container environments - all while providing an alternative to traditional message brokers.
Under Pressure: Applying Machine Learning in Real-Time Systems
Explore real-time machine learning implementation strategies, from handling low latency requirements to building scalable systems for streaming scenarios in autonomous vehicles, healthcare, and fraud detection.
Building ML-Enhanced Event Streaming Apps with Java Microservices
Explore building ML-enhanced event streaming applications using Java microservices and Apache Pulsar. Learn about Pulsar's architecture, functions, and programming model through a practical coding demo.
Intelligent Model Deployment and Consumer Pipeline With DataRobot AI Cloud Platform
Explore DataRobot AI Cloud's MLOps capabilities, including model deployment, registry, and inference. Learn to deploy models from leaderboards and consume them via API, stream, local mode, and job workflows.
Storm: Realtime Distributed Computing with Nathan Marz - ETE 2012
Explore Storm for real-time data processing, covering concepts, development, deployment, fault-tolerance, and practical applications in distributed computing environments.
Intuit's Customer-Centric Observability Journey Using AIOps
Explore Intuit's journey in improving operational excellence using AIOps, focusing on real-time data analysis, anomaly detection, and incident response for enhanced customer-centric observability.
Online Feature Extraction and Event Generation for Computer-Animal Interaction
Architecture for analyzing animal interactions using Docker swarm, featuring online multimedia processing, event generation, and visualization through a web interface for biologists.
Graviton2 Arm vs Intel x86 Performance Comparison for Streaming Data Applications
Explore Graviton2 Arm vs Intel x86 performance for streaming data applications. Learn benchmarking methods, hardware selection insights, and comparative results for data-intensive workloads.
Transforming Data Processing with Kubernetes - Journey Towards a Self-Serve Data Mesh
Explore Intuit's use of Kubernetes with Data Mesh principles to transform data processing, enabling efficient management of 100,000+ pipelines and fostering a collaborative data culture for improved decision-making.
SMACK in the Enterprise - Keynote Panel Discussion
Panel discussion exploring SMACK (Spark, Mesos, Akka, Cassandra, Kafka) implementation in enterprise environments, featuring insights from industry experts at Audi, Deutsche Telekom, and ASML.
Dwell Time Analysis with Computer Vision - Real-Time Stream Processing
Optimize processes using computer vision for wait time analysis. Learn object detection, tracking, and time calculation in zones to enhance customer experience and improve efficiency.
Real-time Fraud Detection: Challenges and Solutions
Explore real-time fraud detection challenges and solutions using machine learning and the Hazelcast Open Source platform for rapid, scalable decision-making.
The Future of Hazelcast - Cloud-Native Revolution
Explore Hazelcast's cloud-native evolution, from caching to advanced stream processing, and discover upcoming features in this insightful tech talk.
Hazelcast 5.1 - The Hitchhiker's Guide
Explore Hazelcast's ecosystem beyond distributed caching, delving into advanced concepts like CRDTs, HyperLogLog, CP Subsystem, and real-time stream processing.
Riding the Stream Processing Wave
Explore LinkedIn's stream processing challenges, innovations in machine learning applications, and advancements in nearline processing. Learn about state management and offline-online convergence in large-scale data systems.