
Explore edge computing's role in meeting modern demands through insights from industry experts on challenges, opportunities, and future trends.

Explore the time series technology stack for IoT edge devices, focusing on efficient data collection, processing, and analysis in resource-constrained environments.

Explore intelligent edge solutions in IoT, addressing technical challenges and showcasing demos. Learn to deploy AI, ML, and analytics on small devices for real-time insights and innovative business applications.

Learn real-time log processing using Apache NiFi and Kafka. Set up the environment, transform data, create flows, and load data into OpenSearch for effective log analytics.

Learn to automate web scraping in R for real-time data analysis. Covers periodic scraping, filtering timely content, text analysis, and setting up hourly email alerts for changing events and trends.

Explore Quine, an open-source streaming graph solution for efficient event stream interpretation, offering real-time query answers and scalability to millions of events per second.

Explore AMQP's evolution, its adoption by major players, and its role in cloud interoperability. Learn how RabbitMQ and Azure Messaging leverage AMQP for scalable, vendor-agnostic solutions in real-time analytics.

Explore server-driven video streaming for deep learning inference, including real-time camera set heuristics, object detection, and experimental results.

Explore practices for optimizing sustainability across heterogeneous computing systems. Learn about real-time data analysis, AI-driven failure prediction, and smart job scheduling to maximize efficiency and minimize power consumption.

Learn to create and deploy an eBPF program using Bumblebee for system monitoring, enhancing your skills in low-level programming and performance analysis.

Explore cutting-edge streaming and learning algorithms in this IEEE session, focusing on recent advancements and applications in data processing and machine learning.

Explore practical strategies for leveraging Kubernetes storage features to build scalable, flexible data platforms. Learn about compute/storage separation, storage optimization, and custom solutions for managing analytic databases.

Explore how graph databases enhance IoT data analysis, enabling real-time insights and better decision-making in industries like oil and gas and transportation.

Explore Apache Pulsar and Apache Pinot's synergy for high-speed, scalable real-time analytics in Cloud Native environments. Learn how these powerful tools enable efficient event streaming and ad-hoc data analysis.

Explore real-time analytics optimization using Apache Pulsar for event streaming and Apache Pinot for low-latency OLAP, enabling scalable, high-performance data processing and ad-hoc querying.

Discover how Intuit leverages notification engine for real-time Argo Rollouts analytics, enabling efficient management of applications across clusters and rapid identification of issues at scale.

Explore streaming aggregation techniques for cloud-scale telemetry, enhancing system observability and performance monitoring in large-scale distributed environments.

Learn to build a real-time analytics stack using Kafka, Storm, and Druid for fast, flexible, and reliable data processing. Discover how to combine these technologies with Hadoop for comprehensive analytics solutions.

Explore JVM performance optimization, memory models, and concurrency for high-speed software. Learn from real-world experiences in scaling and tuning massive real-time analytics systems.

Explore adaptive concurrency control for real-time analytics, addressing timeouts in mixed workloads. Learn iterative improvements for better user experience in query services.

Innovative real-time analysis technique for detecting compromised privileged accounts using Kafka streaming, enabling scalable, per-account risk assessment and evolving individual risk profiles.